Resume analysis: every screen
The real components against a made-up resume. Buttons that would call the server do nothing here; panels that open in place (alternatives, keep my choice, task lists) still work.
Step 1: the career picker
Before the uploadAfter a read with no pickAfter a read against a picked careerChange, with an analysis on screenBefore the analysis
1. Upload prompt2. Picked career has no task data3. Progress, first analysis4. Progress, rescoring against a new career5. Progress, finishing a thin analysisUser Picked a career
8. Ready9. Ready, no location on the resume10. Rematch11. Thin12. No career dataUser Selected Auto match (no career picked)
13. Ready, strong match14. Ready, moderate or weak match15. Ready, no regular job yet16. Ready, still in school with a job in another field17. Thin18. Thin, no regular job yet19. No career dataAfter the analysis lands
20. Connection dropped after the numbers21. Explanations failed on the server22. Team viewerStep 1: the career picker
Before the upload
Landing on /labs/resume-upload: the search and the wand, nothing chosen. Picking is optional; the wand, or no pick at all, lets the resume decide the career.
After a read with no pick
The read landed with nothing chosen (or with the wand): step 1 collapses to the chip and names the career the resume matched. Change reopens the search. No rescore happens here, since no pick and the wand send the same (no) career code.
After a read against a picked career
The chip for a career chosen in the search, or through Score against this career in the result. No matched-from-your-resume note, since the person chose it.
Change, with an analysis on screen
After Change: the search is back with the notice that a pick rescores the resume, and a Keep link that closes the search without one. Keep names the career on screen, the matched one here.
Picking a different career will rescore your resume against it, replacing the current analysis.
Before the analysis
1. Upload prompt
Saved with feedback as: idle
Landing on /labs/resume-upload. Step 1 (career picker) sits above this; picking is optional.
2. Picked career has no task data
Saved with feedback as: picker-nodata
Step 1, picking a career that has no task data and no sibling to borrow a task list from. Checked the moment it is picked (no upload, no model call); the pick is not accepted and the search stays open. Catch-all careers (the All Other buckets) are hidden from the suggestions since 2026-10-09, and every career without data is one of those, so this only shows if task data changes under a listed career.
We cannot score a resume against Teachers and Instructors, All Other yet.
We do not have task data for this career. Search for a different one, or let us match your current or most recent role.
3. Progress, first analysis
Saved with feedback as: progress-first
After choosing a file. Rows tick off as the server reports each stage; the active row counts live. This stays up until the whole analysis is ready, sentences included.
Reading your resume
Jordan Avery Resume.pdf
3 of 6 steps- Reading your resume in your browser<1s
- Pulling out your roles, skills, and credentials12s
- Matching your roles to careers12s
- Scoring your work against this career's tasks
- Working out your experience level
- Writing your analysis
31s elapsed. A full analysis usually takes about a minute.
4. Progress, rescoring against a new career
Saved with feedback as: progress-rescore
Changing the career after an analysis (picker, rematch card, or auto alternatives). Read and extract are skipped.
Rescoring against Statisticians
Jordan Avery Resume.pdf
3 of 6 steps- Reading your resume in your browser
- Pulling out your roles, skills, and credentials
- Matching your roles to careers12s
- Scoring your work against this career's tasks
- Working out your experience level
- Writing your analysis
9s elapsed. A full analysis usually takes about a minute.
5. Progress, finishing a thin analysis
Saved with feedback as: progress-answers
After submitting the thin-resume questions. Same skipped rows as a rescore.
Finishing your analysis
Rescoring with your answers.
Jordan Avery Resume.pdf
5 of 6 steps- Reading your resume in your browser
- Pulling out your roles, skills, and credentials
- Matching your roles to careers12s
- Scoring your work against this career's tasks17s
- Working out your experience level<1s
- Writing your analysis
24s elapsed. A full analysis usually takes about a minute.
Errors
6. File could not be read
Saved with feedback as: error-file
Unsupported or unreadable file, or no text came out of it (e.g. a scanned PDF). Fails in the browser before anything is sent.
AI Resilience Analysis on your Resume
BetaWe could not find any text in that file. If it is a scanned PDF, try exporting it again as text.
7. Analysis failed before the numbers arrived
Saved with feedback as: error-server
Server error, a model failure, or the connection dropping before the numbers were known.
AI Resilience Analysis on your Resume
BetaThe connection dropped before the analysis finished. Try again.
User Picked a career
8. Ready
Saved with feedback as: picked-ready
The resume reads as the picked career with enough evidence. The full analysis, top to bottom: the short version, the basics (occupation, level, location, history), task resilience, what we recommend, other careers. Each career under other careers has two moves: Read opens its page, and Score against this career rescores the same resume in place (does nothing here; on the real page the result header then offers a Back to link, and the previous read comes back instantly). Each card ends with a Was this useful? row; the thumbs work here and go nowhere. On the real page a thumb holds the feedback bar back until every card is rated, the end of the read is on screen, or 30 seconds pass.
AI Resilience Analysis on Jordan's Resume
BetaTask resilience of your resume
44%
Medium resilienceCareer average
48%
Your mix leans toward the hands-on modeling tasks AI tools are getting good at, so your work reads a little more exposed than the career average.
The basics
This is what we understand about your career, based on your resume.
Your last three years are mostly modeling and forecasting work, which puts you at the senior end of this career. Leading the forecast model and mentoring analysts both point the same way.
You're based in Denver, CO, where this work is 12% more concentrated than the national average and the pay is 5% higher than the national median.
Denver-Aurora-Lakewood, CO · 4,100 workers · Median salary $126,000 · National median $120,230
Your resume spans 2 careers
Task resilience is 40% in your current role and 42% across your whole history. Moving from analysis into modeling changed what you do day to day, but the task resilience of your work stayed about the same.
Task resilience
The average AI resilience of the tasks your resume shows, covering only the work your bullets describe. Core tasks count twice as much as supplemental ones, the same weighting the task list on the career's page uses. Tasks we inferred from a title or license, rather than from a bullet, count half. It is not the career's AI Resilience Score, which rates the whole occupation.
The average across the tasks we detected on your resume, against this career.
Your most-resilient tasks
Recommend data-driven solutions to key stakeholders.
“Recommended markdown timing that cut leftover stock”
These hold up because they turn on judgment: deciding what a result means for the business, and which method fits the question. AI tools can run the analysis, but someone still has to decide what is worth analyzing and stand behind the answer.
Tasks from your resume scoring above 65% AI resilience. This is the work that holds up best.
Your least-resilient tasks
Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
“Built weekly Tableau dashboards for the merchandising team”
Clean and manipulate raw data using statistical software.
“Cleaned and joined point-of-sale data from 400 stores”
Write new functions or applications in programming languages to conduct analyses.
“Wrote a Python package the team uses for demand forecasts”
These are the parts of the work with a clear recipe: refreshing a dashboard, cleaning a known data source, writing up results in a set format. AI tools already do each of them well, which is why they score lowest on your resume.
Tasks from your resume scoring 50% AI resilience or lower. This is the work AI tools reach first.
Given what we know, here is what we recommend
Moves for this resume, most useful first. The resilient tasks your resume does not show yet are in here too, since growing into one is a move.
- Resilient task to grow into
Put one bullet on your resume about a business question you chose to model, and what changed because of it.
70% ResilienceIdentify business problems or management objectives that can be addressed through data analysis.
- Addresses your least-resilient task
Hand the weekly dashboard refresh to an AI assistant for a month and track the hours it frees up.
- Addresses your least-resilient task
Write up how you validate the forecast so the method is yours, not the tool's.
- Resilient task to grow into68% ResilienceSenior-level task
Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
Considering a career change?
Careers that reuse the most of the work on your resume, with the more AI-resilient ones first.
9. Ready, no location on the resume
Saved with feedback as: picked-ready-nolocation
Same read, but no location came out of the resume (or it was outside the US). The location line in the basics asks for one; “Add one now” opens the site's location picker and fills the line in place without rerunning the analysis (works here).
AI Resilience Analysis on Jordan's Resume
BetaTask resilience of your resume
44%
Medium resilienceCareer average
48%
Your mix leans toward the hands-on modeling tasks AI tools are getting good at, so your work reads a little more exposed than the career average.
The basics
This is what we understand about your career, based on your resume.
Your last three years are mostly modeling and forecasting work, which puts you at the senior end of this career. Leading the forecast model and mentoring analysts both point the same way.
We did not detect a location from your resume. Add one now to see location-specific information.
Your resume spans 2 careers
Task resilience is 40% in your current role and 42% across your whole history. Moving from analysis into modeling changed what you do day to day, but the task resilience of your work stayed about the same.
Task resilience
The average AI resilience of the tasks your resume shows, covering only the work your bullets describe. Core tasks count twice as much as supplemental ones, the same weighting the task list on the career's page uses. Tasks we inferred from a title or license, rather than from a bullet, count half. It is not the career's AI Resilience Score, which rates the whole occupation.
The average across the tasks we detected on your resume, against this career.
Your most-resilient tasks
Recommend data-driven solutions to key stakeholders.
“Recommended markdown timing that cut leftover stock”
These hold up because they turn on judgment: deciding what a result means for the business, and which method fits the question. AI tools can run the analysis, but someone still has to decide what is worth analyzing and stand behind the answer.
Tasks from your resume scoring above 65% AI resilience. This is the work that holds up best.
Your least-resilient tasks
Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
“Built weekly Tableau dashboards for the merchandising team”
Clean and manipulate raw data using statistical software.
“Cleaned and joined point-of-sale data from 400 stores”
Write new functions or applications in programming languages to conduct analyses.
“Wrote a Python package the team uses for demand forecasts”
These are the parts of the work with a clear recipe: refreshing a dashboard, cleaning a known data source, writing up results in a set format. AI tools already do each of them well, which is why they score lowest on your resume.
Tasks from your resume scoring 50% AI resilience or lower. This is the work AI tools reach first.
Given what we know, here is what we recommend
Moves for this resume, most useful first. The resilient tasks your resume does not show yet are in here too, since growing into one is a move.
- Resilient task to grow into
Put one bullet on your resume about a business question you chose to model, and what changed because of it.
70% ResilienceIdentify business problems or management objectives that can be addressed through data analysis.
- Addresses your least-resilient task
Hand the weekly dashboard refresh to an AI assistant for a month and track the hours it frees up.
- Addresses your least-resilient task
Write up how you validate the forecast so the method is yours, not the tool's.
- Resilient task to grow into68% ResilienceSenior-level task
Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
Considering a career change?
Careers that reuse the most of the work on your resume, with the more AI-resilient ones first.
10. Rematch
Saved with feedback as: picked-rematch
The resume reads closer to other careers. Up to three candidates; the analysis underneath is dimmed. “Keep my choice” lifts it (click it here).
AI Resilience Analysis on Jordan's Resume
BetaYour resume may read closer to a different career
The career you chose describes interface design work, while your bullets describe forecasting, model building, and analysis at a retailer. The closer matches below are probably worth a look before you read too much into this score.
Data Scientists
Business Intelligence Analysts
Statisticians
Task resilience of your resume
25%
Low resilienceCareer average
48%
Your mix leans toward the hands-on modeling tasks AI tools are getting good at, so your work reads a little more exposed than the career average.
The basics
This is what we understand about your career, based on your resume.
Your last three years are mostly modeling and forecasting work, which puts you at the senior end of this career. Leading the forecast model and mentoring analysts both point the same way.
You're based in Denver, CO, where this work is 12% more concentrated than the national average and the pay is 5% higher than the national median.
Denver-Aurora-Lakewood, CO · 4,100 workers · Median salary $126,000 · National median $120,230
Your resume spans 2 careers
Task resilience is 40% in your current role and 42% across your whole history. Moving from analysis into modeling changed what you do day to day, but the task resilience of your work stayed about the same.
Task resilience
The average AI resilience of the tasks your resume shows, covering only the work your bullets describe. Core tasks count twice as much as supplemental ones, the same weighting the task list on the career's page uses. Tasks we inferred from a title or license, rather than from a bullet, count half. It is not the career's AI Resilience Score, which rates the whole occupation.
The average across the tasks we detected on your resume, against this career.
Your least-resilient tasks
Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
“Built weekly Tableau dashboards for the merchandising team”
These are the parts of the work with a clear recipe: refreshing a dashboard, cleaning a known data source, writing up results in a set format. AI tools already do each of them well, which is why they score lowest on your resume.
Tasks from your resume scoring 50% AI resilience or lower. This is the work AI tools reach first.
Given what we know, here is what we recommend
Moves for this resume, most useful first. The resilient tasks your resume does not show yet are in here too, since growing into one is a move.
Put one bullet on your resume about a business question you chose to model, and what changed because of it.
Hand the weekly dashboard refresh to an AI assistant for a month and track the hours it frees up.
Write up how you validate the forecast so the method is yours, not the tool's.
Considering a career change?
Careers that reuse the most of the work on your resume, with the more AI-resilient ones first.
11. Thin
Saved with feedback as: picked-thin
Too little evidence to place the person. Two questions here (this career has no tracks to choose between), then “Finish my analysis” rescores. On the real page the feedback bar and corner button stay away on this screen until the questions are answered.
AI Resilience Analysis on Jordan's Resume
BetaThe basics
This is what we understand about your career, based on your resume.
You're based in Denver, CO, where this work is 12% more concentrated than the national average and the pay is 5% higher than the national median.
Denver-Aurora-Lakewood, CO · 4,100 workers · Median salary $126,000 · National median $120,230
Your resume spans 2 careers
Task resilience is 40% in your current role and 42% across your whole history. Moving from analysis into modeling changed what you do day to day, but the task resilience of your work stayed about the same.
Tell us two things and we can finish your analysis
Your resume has only a few bullets for this career, so the analysis below is a rough one. Answer a few quick questions and we will finish it.
1. Which of these do you do most days?
2. How many years have you worked in this career (Data Scientists)?
Considering a career change?
Careers that reuse the most of the work on your resume, with the more AI-resilient ones first.
12. No career data
Saved with feedback as: picked-nodata
The picked career has no scored tasks, no sibling to borrow a task list from, and no better match. Rare now: the picker checks this before the upload (see “Picked career has no task data”), so this only shows if the check failed or the data changed in between.
AI Resilience Analysis on Jordan's Resume
BetaThe basics
This is what we understand about your career, based on your resume.
You're based in Denver, CO, where this work is 12% more concentrated than the national average and the pay is 5% higher than the national median.
Denver-Aurora-Lakewood, CO · 4,100 workers · Median salary $126,000 · National median $120,230
Your resume spans 2 careers
Task resilience is 40% in your current role and 42% across your whole history.
This career has no task-level data yet, so we cannot score your work against it. Below: your career history and other careers to check out.
Considering a career change?
Careers that reuse the most of the work on your resume, with the more AI-resilient ones first.
User Selected Auto match (no career picked)
13. Ready, strong match
Saved with feedback as: auto-ready
The current role matched a career. “Not right? See other careers” opens the alternatives panel (click it here).
AI Resilience Analysis on Jordan's Resume
BetaTask resilience of your resume
44%
Medium resilienceCareer average
48%
Your mix leans toward the hands-on modeling tasks AI tools are getting good at, so your work reads a little more exposed than the career average.
The basics
This is what we understand about your career, based on your resume.
Senior Data Scientist maps directly.
Your last three years are mostly modeling and forecasting work, which puts you at the senior end of this career. Leading the forecast model and mentoring analysts both point the same way.
You're based in Denver, CO, where this work is 12% more concentrated than the national average and the pay is 5% higher than the national median.
Denver-Aurora-Lakewood, CO · 4,100 workers · Median salary $126,000 · National median $120,230
Your resume spans 2 careers
Task resilience is 40% in your current role and 42% across your whole history. Moving from analysis into modeling changed what you do day to day, but the task resilience of your work stayed about the same.
Task resilience
The average AI resilience of the tasks your resume shows, covering only the work your bullets describe. Core tasks count twice as much as supplemental ones, the same weighting the task list on the career's page uses. Tasks we inferred from a title or license, rather than from a bullet, count half. It is not the career's AI Resilience Score, which rates the whole occupation.
The average across the tasks we detected on your resume, against this career.
Your most-resilient tasks
Recommend data-driven solutions to key stakeholders.
“Recommended markdown timing that cut leftover stock”
These hold up because they turn on judgment: deciding what a result means for the business, and which method fits the question. AI tools can run the analysis, but someone still has to decide what is worth analyzing and stand behind the answer.
Tasks from your resume scoring above 65% AI resilience. This is the work that holds up best.
Your least-resilient tasks
Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
“Built weekly Tableau dashboards for the merchandising team”
Clean and manipulate raw data using statistical software.
“Cleaned and joined point-of-sale data from 400 stores”
Write new functions or applications in programming languages to conduct analyses.
“Wrote a Python package the team uses for demand forecasts”
These are the parts of the work with a clear recipe: refreshing a dashboard, cleaning a known data source, writing up results in a set format. AI tools already do each of them well, which is why they score lowest on your resume.
Tasks from your resume scoring 50% AI resilience or lower. This is the work AI tools reach first.
Given what we know, here is what we recommend
Moves for this resume, most useful first. The resilient tasks your resume does not show yet are in here too, since growing into one is a move.
- Resilient task to grow into
Put one bullet on your resume about a business question you chose to model, and what changed because of it.
70% ResilienceIdentify business problems or management objectives that can be addressed through data analysis.
- Addresses your least-resilient task
Hand the weekly dashboard refresh to an AI assistant for a month and track the hours it frees up.
- Addresses your least-resilient task
Write up how you validate the forecast so the method is yours, not the tool's.
- Resilient task to grow into68% ResilienceSenior-level task
Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
Considering a career change?
Careers that reuse the most of the work on your resume, with the more AI-resilient ones first.
14. Ready, moderate or weak match
Saved with feedback as: auto-ready-weak
Same screen, but the match was moderate or weak. The alternatives panel is headed “We are not confident about this match” (weak, shown here) or “This match is a best guess” (moderate). Open it to see the difference.
AI Resilience Analysis on Jordan's Resume
BetaTask resilience of your resume
44%
Medium resilienceCareer average
48%
Your mix leans toward the hands-on modeling tasks AI tools are getting good at, so your work reads a little more exposed than the career average.
The basics
This is what we understand about your career, based on your resume.
Senior Data Scientist maps directly.
Your last three years are mostly modeling and forecasting work, which puts you at the senior end of this career. Leading the forecast model and mentoring analysts both point the same way.
You're based in Denver, CO, where this work is 12% more concentrated than the national average and the pay is 5% higher than the national median.
Denver-Aurora-Lakewood, CO · 4,100 workers · Median salary $126,000 · National median $120,230
Your resume spans 2 careers
Task resilience is 40% in your current role and 42% across your whole history. Moving from analysis into modeling changed what you do day to day, but the task resilience of your work stayed about the same.
Task resilience
The average AI resilience of the tasks your resume shows, covering only the work your bullets describe. Core tasks count twice as much as supplemental ones, the same weighting the task list on the career's page uses. Tasks we inferred from a title or license, rather than from a bullet, count half. It is not the career's AI Resilience Score, which rates the whole occupation.
The average across the tasks we detected on your resume, against this career.
Your most-resilient tasks
Recommend data-driven solutions to key stakeholders.
“Recommended markdown timing that cut leftover stock”
These hold up because they turn on judgment: deciding what a result means for the business, and which method fits the question. AI tools can run the analysis, but someone still has to decide what is worth analyzing and stand behind the answer.
Tasks from your resume scoring above 65% AI resilience. This is the work that holds up best.
Your least-resilient tasks
Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
“Built weekly Tableau dashboards for the merchandising team”
Clean and manipulate raw data using statistical software.
“Cleaned and joined point-of-sale data from 400 stores”
Write new functions or applications in programming languages to conduct analyses.
“Wrote a Python package the team uses for demand forecasts”
These are the parts of the work with a clear recipe: refreshing a dashboard, cleaning a known data source, writing up results in a set format. AI tools already do each of them well, which is why they score lowest on your resume.
Tasks from your resume scoring 50% AI resilience or lower. This is the work AI tools reach first.
Given what we know, here is what we recommend
Moves for this resume, most useful first. The resilient tasks your resume does not show yet are in here too, since growing into one is a move.
- Resilient task to grow into
Put one bullet on your resume about a business question you chose to model, and what changed because of it.
70% ResilienceIdentify business problems or management objectives that can be addressed through data analysis.
- Addresses your least-resilient task
Hand the weekly dashboard refresh to an AI assistant for a month and track the hours it frees up.
- Addresses your least-resilient task
Write up how you validate the forecast so the method is yours, not the tool's.
- Resilient task to grow into68% ResilienceSenior-level task
Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
Considering a career change?
Careers that reuse the most of the work on your resume, with the more AI-resilient ones first.
15. Ready, no regular job yet
Saved with feedback as: auto-ready-student
No regular job on the resume (a student): the whole resume picked the career, the Experience row in the basics counts internships and projects, the history row is titled “Your experience so far”, and the level is entry. “Not right? See other careers” opens with the whole-resume wording (click it here).
AI Resilience Analysis on Sam's Resume
BetaTask resilience of your resume
41%
Medium resilienceCareer average
48%
Your tasks come in at 4% below the career average task resilience, largely because the dashboard and data cleaning work in your resume is the part AI tools reach first.
The basics
This is what we understand about your career, based on your resume.
Degree, internship, and capstone all point to data science.
We placed you at entry level because your experience in this career so far is an internship and a capstone project rather than a regular job. Both show cleaning data, building dashboards, and presenting results, and the task mix already reaches mid-level work like validating a model.
You're based in Chicago, IL, where this work is 8% more concentrated than the national average and the pay is about the same as the national median.
Chicago-Naperville-Elgin, IL-IN-WI · 6,200 workers · Median salary $118,500 · National median $120,230
Your experience so far
Your internship and your capstone both sit in hands-on analysis work, which is where most people start in this career; the tutoring job is outside it.
Task resilience
The average AI resilience of the tasks your resume shows, covering only the work your bullets describe. Core tasks count twice as much as supplemental ones, the same weighting the task list on the career's page uses. Tasks we inferred from a title or license, rather than from a bullet, count half. It is not the career's AI Resilience Score, which rates the whole occupation.
The average across the tasks we detected on your resume, against this career.
Your least-resilient tasks
Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
“Built a Tableau dashboard of weekly store traffic”
Clean and manipulate raw data using statistical software.
“Cleaned and joined two years of point-of-sale data”
Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.
“Back-tested the demand model against a held-out semester”
Cleaning data and building dashboards follow a set recipe, which is exactly the work AI tools have learned to do. They score lowest on your resume because the steps rarely change from one week to the next.
Tasks from your resume scoring 50% AI resilience or lower. This is the work AI tools reach first.
Given what we know, here is what we recommend
Moves for this resume, most useful first. The resilient tasks your resume does not show yet are in here too, since growing into one is a move.
- Resilient task to grow into
Add one bullet to your capstone about the question you chose to model and why, not just the model. Picking the problem is the most resilient part of this work.
70% ResilienceIdentify business problems or management objectives that can be addressed through data analysis.
- Addresses your least-resilient task
Try a coding assistant such as GitHub Copilot or Cursor on your next analysis notebook, then add it to your resume once you have used it for real work.
Ask the merchandising team what they did with your dashboard and write that outcome into the internship bullet.
- Resilient task to grow into68% ResilienceSenior-level task
Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
Other careers to check out
Careers that reuse the most of the work on your resume, with the more AI-resilient ones first.
16. Ready, still in school with a job in another field
Saved with feedback as: auto-ready-enrolled
Still in school, with a job in another field (a data science master's student working as a bank teller). The whole resume picked the career over the job; open “Not right? See other careers” to see how the panel says so. Since 2026-10-23 this reads as starting out: the Experience row counts the internship and the job by kind, and the history is titled “Your experience so far” and lists both.
AI Resilience Analysis on Sam's Resume
BetaTask resilience of your resume
33%
Low resilienceCareer average
48%
Your tasks come in at 4% below the career average task resilience, largely because the dashboard and data cleaning work in your resume is the part AI tools reach first.
The basics
This is what we understand about your career, based on your resume.
The master's and the internship point to data science; the teller job is a different occupation.
We placed you at entry level because your experience in this career so far is an internship and coursework. Your teller job is in a different occupation, so its two years do not count here.
You're based in Chicago, IL, where this work is 8% more concentrated than the national average and the pay is about the same as the national median.
Chicago-Naperville-Elgin, IL-IN-WI · 6,200 workers · Median salary $118,500 · National median $120,230
Your experience so far
Task resilience is 38% in your most recent role and 22% across your whole history. Your teller work sits in the most exposed part of the labor market, while the internship moved you into analysis work that holds up better.
Task resilience
The average AI resilience of the tasks your resume shows, covering only the work your bullets describe. Core tasks count twice as much as supplemental ones, the same weighting the task list on the career's page uses. Tasks we inferred from a title or license, rather than from a bullet, count half. It is not the career's AI Resilience Score, which rates the whole occupation.
The average across the tasks we detected on your resume, against this career.
Your least-resilient tasks
Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
“Built a Tableau dashboard of weekly store traffic”
Clean and manipulate raw data using statistical software.
“Cleaned and joined two years of point-of-sale data”
Analyze, manipulate, or process large sets of data using statistical software.
“Queried a semester of ridership data in SQL and Spark”
Cleaning data and building dashboards follow a set recipe, which is exactly the work AI tools have learned to do. They score lowest on your resume because the steps rarely change from one week to the next.
Tasks from your resume scoring 50% AI resilience or lower. This is the work AI tools reach first.
Given what we know, here is what we recommend
Moves for this resume, most useful first. The resilient tasks your resume does not show yet are in here too, since growing into one is a move.
- Resilient task to grow into
Add one bullet to your capstone about the question you chose to model and why, not just the model. Picking the problem is the most resilient part of this work.
70% ResilienceIdentify business problems or management objectives that can be addressed through data analysis.
- Addresses your least-resilient task
Try a coding assistant such as GitHub Copilot or Cursor on your next analysis notebook, then add it to your resume once you have used it for real work.
Ask the merchandising team what they did with your dashboard and write that outcome into the internship bullet.
- Resilient task to grow into68% ResilienceSenior-level task
Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
Considering a career change?
Careers that reuse the most of the work on your resume, with the more AI-resilient ones first.
17. Thin
Saved with feedback as: auto-thin
Auto-matched career, too little evidence. Three questions here: the third only shows when the career has distinct tracks. No feedback bar on this screen until the questions are answered.
AI Resilience Analysis on Jordan's Resume
BetaThe basics
This is what we understand about your career, based on your resume.
Senior Data Scientist maps directly.
You're based in Denver, CO, where this work is 12% more concentrated than the national average and the pay is 5% higher than the national median.
Denver-Aurora-Lakewood, CO · 4,100 workers · Median salary $126,000 · National median $120,230
Your resume spans 2 careers
Task resilience is 40% in your current role and 42% across your whole history. Moving from analysis into modeling changed what you do day to day, but the task resilience of your work stayed about the same.
Tell us three things and we can finish your analysis
Your resume has only a few bullets for this career, so the analysis below is a rough one. Answer a few quick questions and we will finish it.
1. Which of these do you do most days?
2. How many years have you worked in this career (Data Scientists)?
3. Which side of this work is closest to yours?
Considering a career change?
Careers that reuse the most of the work on your resume, with the more AI-resilient ones first.
18. Thin, no regular job yet
Saved with feedback as: auto-thin-student
Starting out and too little evidence. The years question is skipped, since the level is entry whatever the answer, and the task question asks what they have done rather than what they do most days. One question here, as this career has no tracks. No feedback bar on this screen until the question is answered.
AI Resilience Analysis on Sam's Resume
BetaThe basics
This is what we understand about your career, based on your resume.
Degree, internship, and capstone all point to data science.
You're based in Chicago, IL, where this work is 8% more concentrated than the national average and the pay is about the same as the national median.
Chicago-Naperville-Elgin, IL-IN-WI · 6,200 workers · Median salary $118,500 · National median $120,230
Your experience so far
Your internship and your capstone both sit in hands-on analysis work, which is where most people start in this career; the tutoring job is outside it.
Tell us one thing and we can finish your analysis
We could read your degree, an internship title, and your location, but only two lines describe the work itself. Tick the tasks you have done and we will finish your analysis.
1. Which of these have you done, in an internship, a rotation, a project, or a job?
Other careers to check out
Careers that reuse the most of the work on your resume, with the more AI-resilient ones first.
19. No career data
Saved with feedback as: auto-nodata
The current role matched no career at all.
AI Resilience Analysis on Jordan's Resume
BetaThe basics
This is what we understand about your career, based on your resume.
We did not detect a location from your resume. Add one now to see location-specific information.
Your resume spans 2 careers
Task resilience is 40% in your current role and 42% across your whole history.
We could not match your current role to a career in our data, so there is nothing to score your work against yet. Below: your career history and other careers to check out.
Considering a career change?
Careers that reuse the most of the work on your resume, with the more AI-resilient ones first.
After the analysis lands
20. Connection dropped after the numbers
Saved with feedback as: copy-failed
The stream died after the numbers were known but before the sentences arrived. The numbers show with a note instead of an error.
AI Resilience Analysis on Jordan's Resume
BetaYour numbers are in, but the connection dropped before we finished the explanations. Upload again for the full analysis.
Task resilience of your resume
44%
Medium resilienceCareer average
48%
The basics
This is what we understand about your career, based on your resume.
You're based in Denver, CO, where this work is 12% more concentrated than the national average and the pay is 5% higher than the national median.
Denver-Aurora-Lakewood, CO · 4,100 workers · Median salary $126,000 · National median $120,230
Your resume spans 2 careers
Task resilience is 40% in your current role and 42% across your whole history.
Task resilience
The average AI resilience of the tasks your resume shows, covering only the work your bullets describe. Core tasks count twice as much as supplemental ones, the same weighting the task list on the career's page uses. Tasks we inferred from a title or license, rather than from a bullet, count half. It is not the career's AI Resilience Score, which rates the whole occupation.
The average across the tasks we detected on your resume, against this career.
Your most-resilient tasks
Tasks from your resume scoring above 65% AI resilience. This is the work that holds up best.
Recommend data-driven solutions to key stakeholders.
“Recommended markdown timing that cut leftover stock”
Your least-resilient tasks
Tasks from your resume scoring 50% AI resilience or lower. This is the work AI tools reach first.
Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
“Built weekly Tableau dashboards for the merchandising team”
Clean and manipulate raw data using statistical software.
“Cleaned and joined point-of-sale data from 400 stores”
Write new functions or applications in programming languages to conduct analyses.
“Wrote a Python package the team uses for demand forecasts”
Given what we know, here is what we recommend
Moves for this resume, most useful first. The resilient tasks your resume does not show yet are in here too, since growing into one is a move.
- Resilient task to grow into68% ResilienceSenior-level task
Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
- Resilient task to grow into70% Resilience
Identify business problems or management objectives that can be addressed through data analysis.
Considering a career change?
Careers that reuse the most of the work on your resume, with the more AI-resilient ones first.
21. Explanations failed on the server
Saved with feedback as: copy-null
The copy call failed twice; the server returns the analysis with no generated sentences, and fallbacks fill in.
AI Resilience Analysis on Jordan's Resume
BetaTask resilience of your resume
44%
Medium resilienceCareer average
48%
The basics
This is what we understand about your career, based on your resume.
You're based in Denver, CO, where this work is 12% more concentrated than the national average and the pay is 5% higher than the national median.
Denver-Aurora-Lakewood, CO · 4,100 workers · Median salary $126,000 · National median $120,230
Your resume spans 2 careers
Task resilience is 40% in your current role and 42% across your whole history.
Task resilience
The average AI resilience of the tasks your resume shows, covering only the work your bullets describe. Core tasks count twice as much as supplemental ones, the same weighting the task list on the career's page uses. Tasks we inferred from a title or license, rather than from a bullet, count half. It is not the career's AI Resilience Score, which rates the whole occupation.
The average across the tasks we detected on your resume, against this career.
Your most-resilient tasks
Tasks from your resume scoring above 65% AI resilience. This is the work that holds up best.
Recommend data-driven solutions to key stakeholders.
“Recommended markdown timing that cut leftover stock”
Your least-resilient tasks
Tasks from your resume scoring 50% AI resilience or lower. This is the work AI tools reach first.
Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
“Built weekly Tableau dashboards for the merchandising team”
Clean and manipulate raw data using statistical software.
“Cleaned and joined point-of-sale data from 400 stores”
Write new functions or applications in programming languages to conduct analyses.
“Wrote a Python package the team uses for demand forecasts”
Given what we know, here is what we recommend
Moves for this resume, most useful first. The resilient tasks your resume does not show yet are in here too, since growing into one is a move.
- Resilient task to grow into68% ResilienceSenior-level task
Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
- Resilient task to grow into70% Resilience
Identify business problems or management objectives that can be addressed through data analysis.
Considering a career change?
Careers that reuse the most of the work on your resume, with the more AI-resilient ones first.
22. Team viewer
Saved with feedback as: readonly
Not a screen users see. This is what our team sees at /labs/reads/<id> (behind the team password) after someone sends feedback: the analysis that person was looking at, with their task corrections applied (two here: one task removed, one added), their thumbs shown as plain lines on the cards they rated (three here: two up, one down), and the upload controls turned off. It is in this list so we can check how a saved analysis looks without submitting real feedback. It never appears in a person's path.
AI Resilience Analysis on Jordan's Resume
BetaTask resilience of your resume
49%
Medium resilienceCareer average
48%
Adjusted for 2 corrections the reader made. The resume alone came to 43%.
The basics
This is what we understand about your career, based on your resume.
Senior Data Scientist maps directly.
Your last three years are mostly modeling and forecasting work, which puts you at the senior end of this career. Leading the forecast model and mentoring analysts both point the same way.
You're based in Denver, CO, where this work is 12% more concentrated than the national average and the pay is 5% higher than the national median.
Denver-Aurora-Lakewood, CO · 4,100 workers · Median salary $126,000 · National median $120,230
Your resume spans 2 careers
Task resilience is 40% in your current role and 42% across your whole history. Moving from analysis into modeling changed what you do day to day, but the task resilience of your work stayed about the same.
Task resilience
The average AI resilience of the tasks your resume shows, covering only the work your bullets describe. Core tasks count twice as much as supplemental ones, the same weighting the task list on the career's page uses. Tasks we inferred from a title or license, rather than from a bullet, count half. It is not the career's AI Resilience Score, which rates the whole occupation.
The average across the tasks we detected on your resume, against this career.
Your most-resilient tasks
Identify business problems or management objectives that can be addressed through data analysis.
Recommend data-driven solutions to key stakeholders.
“Recommended markdown timing that cut leftover stock”
These hold up because they turn on judgment: deciding what a result means for the business, and which method fits the question. AI tools can run the analysis, but someone still has to decide what is worth analyzing and stand behind the answer.
Tasks from your resume scoring above 65% AI resilience. This is the work that holds up best.
Your least-resilient tasks
Clean and manipulate raw data using statistical software.
“Cleaned and joined point-of-sale data from 400 stores”
Write new functions or applications in programming languages to conduct analyses.
“Wrote a Python package the team uses for demand forecasts”
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
“Chose model inputs for a customer churn model”
These are the parts of the work with a clear recipe: refreshing a dashboard, cleaning a known data source, writing up results in a set format. AI tools already do each of them well, which is why they score lowest on your resume.
Tasks from your resume scoring 50% AI resilience or lower. This is the work AI tools reach first.
Given what we know, here is what we recommend
Moves for this resume, most useful first. The resilient tasks your resume does not show yet are in here too, since growing into one is a move.
- Resilient task to grow into
Put one bullet on your resume about a business question you chose to model, and what changed because of it.
- Addresses your least-resilient task
Hand the weekly dashboard refresh to an AI assistant for a month and track the hours it frees up.
- Addresses your least-resilient task
Write up how you validate the forecast so the method is yours, not the tool's.
- Resilient task to grow into68% ResilienceSenior-level task
Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
Considering a career change?
Careers that reuse the most of the work on your resume, with the more AI-resilient ones first.
