Three layouts. All single-column, on purpose.
There is no two-column option here and there will not be one. A sidebar looks efficient and is the most reliable way to have a parser interleave your job titles with your skills. These three differ in tone and density, not in structure — and every one of them exports a text-based PDF that a parser can read. Why that matters.
Classic
Centered header, serif type, full rules under every section.
- Best for
- Finance, law, academia, government, and anywhere conservative
- Typeface
- Times — the standard PDF serif, embedded nowhere and readable everywhere
- Body size
- 9.8 pt
- Columns
- One
Product analyst with 5 years turning messy behavioural data into shipping decisions. Built the experimentation practice at a 40-person SaaS company, taking the team from ad-hoc launches to 20+ controlled tests a quarter. Comfortable owning the whole loop: instrumentation, analysis, and the readout that changes the roadmap.
- •Rebuilt the activation funnel model in SQL and dbt, cutting reporting turnaround from 3 days to 2 hours and giving four product squads a shared definition of an activated account.
- •Designed and read out 34 A/B tests in 18 months; the onboarding checklist test raised week-4 retention 11% and shipped to all accounts.
- •Found a tracking gap that had been under-reporting mobile signups by 19%, corrected the pipeline, and rewrote the QA checklist the team still uses before every release.
- •Mentored two junior analysts through their first independent experiment readouts.
- •Owned weekly reporting for a 1.2M-user patient portal, replacing 6 hand-built spreadsheets with a single Looker model.
- •Partnered with the design team on a claims-status redesign that reduced support tickets about claim visibility by 27% quarter over quarter.
- •Wrote the team's first analytics style guide, standardising metric naming across 3 product areas.
- •Automated the daily store-performance report in Python, saving the regional team roughly 6 hours a week.
- •Built the inventory-shrinkage dashboard adopted by all 22 stores in the district.
- •Undergraduate research assistant, Applied Econometrics Lab
- •Open-source calculator that translates business-language questions into a required sample size; used by ~400 analysts a month.
Rendered live from the same code that writes your PDF
Modern
Left-aligned name, clean sans type, short accent rules.
- Best for
- Tech, product, design, marketing, startups
- Typeface
- Helvetica — the standard PDF sans, same story
- Body size
- 9.6 pt
- Columns
- One
Product analyst with 5 years turning messy behavioural data into shipping decisions. Built the experimentation practice at a 40-person SaaS company, taking the team from ad-hoc launches to 20+ controlled tests a quarter. Comfortable owning the whole loop: instrumentation, analysis, and the readout that changes the roadmap.
- •Rebuilt the activation funnel model in SQL and dbt, cutting reporting turnaround from 3 days to 2 hours and giving four product squads a shared definition of an activated account.
- •Designed and read out 34 A/B tests in 18 months; the onboarding checklist test raised week-4 retention 11% and shipped to all accounts.
- •Found a tracking gap that had been under-reporting mobile signups by 19%, corrected the pipeline, and rewrote the QA checklist the team still uses before every release.
- •Mentored two junior analysts through their first independent experiment readouts.
- •Owned weekly reporting for a 1.2M-user patient portal, replacing 6 hand-built spreadsheets with a single Looker model.
- •Partnered with the design team on a claims-status redesign that reduced support tickets about claim visibility by 27% quarter over quarter.
- •Wrote the team's first analytics style guide, standardising metric naming across 3 product areas.
- •Automated the daily store-performance report in Python, saving the regional team roughly 6 hours a week.
- •Built the inventory-shrinkage dashboard adopted by all 22 stores in the district.
- •Undergraduate research assistant, Applied Econometrics Lab
- •Open-source calculator that translates business-language questions into a required sample size; used by ~400 analysts a month.
Rendered live from the same code that writes your PDF
Compact
Tighter leading and smaller type to hold a long career on one page.
- Best for
- 10+ years of experience, or anyone spilling onto page two
- Typeface
- Helvetica — the standard PDF sans, same story
- Body size
- 9 pt
- Columns
- One
Product analyst with 5 years turning messy behavioural data into shipping decisions. Built the experimentation practice at a 40-person SaaS company, taking the team from ad-hoc launches to 20+ controlled tests a quarter. Comfortable owning the whole loop: instrumentation, analysis, and the readout that changes the roadmap.
- •Rebuilt the activation funnel model in SQL and dbt, cutting reporting turnaround from 3 days to 2 hours and giving four product squads a shared definition of an activated account.
- •Designed and read out 34 A/B tests in 18 months; the onboarding checklist test raised week-4 retention 11% and shipped to all accounts.
- •Found a tracking gap that had been under-reporting mobile signups by 19%, corrected the pipeline, and rewrote the QA checklist the team still uses before every release.
- •Mentored two junior analysts through their first independent experiment readouts.
- •Owned weekly reporting for a 1.2M-user patient portal, replacing 6 hand-built spreadsheets with a single Looker model.
- •Partnered with the design team on a claims-status redesign that reduced support tickets about claim visibility by 27% quarter over quarter.
- •Wrote the team's first analytics style guide, standardising metric naming across 3 product areas.
- •Automated the daily store-performance report in Python, saving the regional team roughly 6 hours a week.
- •Built the inventory-shrinkage dashboard adopted by all 22 stores in the district.
- •Undergraduate research assistant, Applied Econometrics Lab
- •Open-source calculator that translates business-language questions into a required sample size; used by ~400 analysts a month.
Rendered live from the same code that writes your PDF