Data Scientist Resume
priya.shah@email.com · 206-555-0142 · Seattle, WA
Professional Summary
Data scientist with 5+ years turning messy datasets into production ML models and clear business recommendations. Strong in Python, SQL, experimentation, and stakeholder storytelling.
Experience
Data Scientist · Harbor Analytics
2021–Present
- Built a churn prediction model (XGBoost) that identified at-risk accounts 21 days earlier; supported a 12% retention lift.
- Designed and analyzed 30+ A/B tests; standardized experiment readouts used by product and growth teams.
- Automated weekly KPI pipelines in Python/SQL, reducing analyst prep time by 8 hours per week.
Junior Data Scientist · Pacific Retail Co.
2019–2021
- Created demand-forecasting models that cut stockouts by 18% across 120 stores.
- Built Looker dashboards for merchandising leaders tracking margin, velocity, and promo ROI.
- Cleaned and modeled 50M+ transaction rows; documented data definitions for cross-team use.
Data Analyst Intern · Cascade Insights
2018–2019
- Built SQL reports and Excel models for client marketing ROI reviews across 8 brands.
- Assisted senior scientists with feature engineering and model evaluation notebooks in Python.
- Presented weekly findings to consulting leads; improved slide deck turnaround by 1 day on average.
Skills
Python, SQL, R, Pandas, scikit-learn, XGBoost, A/B Testing, Statistics, Airflow, Tableau, AWS SageMaker
Education
M.S. in Data Science — University of Washington
Projects
Customer Lifetime Value Model — Developed a Bayesian LTV model that improved paid-acquisition targeting efficiency by 15% in a pilot.
Certifications
Google Data Analytics Professional Certificate