Priya Raman
priya.raman@example.com+44 20 7946 0142linkedin.com/in/priyaramangithub.com/priyaraman
Summary
Data scientist with 6 years applying statistics, experimentation, and machine learning to marketplace growth and retention problems.
Skilled in Python, SQL, causal inference, A/B testing, forecasting, and translating ambiguous product questions into decision-ready analysis.
Experience
Senior Data Scientist
LoopMarket | London, UK | April 2022 - Present
- Lead experimentation and product analytics for a marketplace with 3.2M monthly active users.
- Designed an A/B testing framework that reduced experiment read-out time from 9 days to 3 days.
- Built churn models in Python and scikit-learn that identified 28% more high-risk sellers at the same precision.
- Quantified network effects in referral loops, informing a launch that increased activated buyers by 11%.
- Presented weekly metric reviews to product, engineering, and finance leaders with clear confidence intervals.
Data Scientist
Finch Banking | Edinburgh, UK | June 2019 - March 2022
- Developed transaction categorisation models using gradient boosted trees and 2.4M labelled examples.
- Improved fraud alert precision by 19% through feature engineering and probability calibration.
- Analysed onboarding funnels in SQL, finding two verification steps that explained 37% of drop-off.
- Shipped Looker dashboards for product health, reducing recurring analyst requests by 24 hours per week.
Product Analyst
CityRide | Birmingham, UK | September 2017 - May 2019
- Analysed rider retention cohorts and recommended pricing changes that improved week-4 retention by 6%.
- Built SQL models for trip quality, cancellations, and driver supply across 14 cities.
- Forecasted weekly demand with seasonal models, improving driver incentive planning accuracy by 18%.
- Created experiment templates that standardised power, MDE, guardrails, and decision thresholds.
Skills
Languages
Python, SQL, R
Methods
A/B testing, Causal inference, Forecasting, Regression, Classification
Libraries
pandas, NumPy, scikit-learn, statsmodels, XGBoost
Tools
BigQuery, Snowflake, Looker, dbt, Git
Education
- MSc Data Science, University of Edinburgh
- BSc Mathematics, University of Leeds