Experience
Analytics Engineer, Technical Operations
Built governed analytics infrastructure, experimentation systems, and revenue-driving data products across CTV, fraud prevention, and internal reporting.
- Redesigned a legacy ad-fraud detection workflow with automated dbt models, Snowflake marts, and Tableau dashboards, reducing manual investigation time by 70% and improving product-level transparency.
- Drove more than 150% YoY CTV revenue growth by leading the development and production rollout of a cross-functional media encoding pipeline used by Disney, NBCU, and Paramount.
- Converted ad hoc requests from finance, revenue, and operations into reusable, version-controlled dbt models, eliminating duplicate logic across eight reports.
- Built end-to-end A/B testing infrastructure to evaluate backend algorithm changes, informing decisions that increased revenue and improved margin efficiency by 20%.
- Consolidated fragmented metric definitions across internal teams into governed dbt models, replacing siloed spreadsheet logic with consistent, reproducible reporting.
dbt · Snowflake · Tableau · SQL · A/B Testing · Data Governance
Business Intelligence Analyst
Built underwriting and retention analytics workflows that supported commercial decision-making and operational efficiency.
- Partnered with revenue and leadership teams on a data-driven underwriting strategy that reduced average claim value by 12% and improved loss ratio by 5% over three fiscal quarters.
- Built scalable AWS pipelines with Glue, Lambda, S3, and MariaDB, cutting processing time by 50% and saving approximately 20 hours per week.
- Created interactive Power BI dashboards for commercial-lines KPIs, portfolio health, and action items, improving data-driven decision-making by 15% and reducing critical-alert response time by 10%.
- Developed a Python and XGBoost retention model to identify clients at risk of cancellation, supporting a 40% Q4-to-Q1 increase in commercial-lines account retention.
AWS · Glue · Lambda · S3 · MariaDB · Power BI · Python · XGBoost
Education
M.S. Computational Analytics (Data Science)
Focused on statistical modeling, machine learning, and production analytics workflows. Graduate coursework in Bayesian statistics, time series forecasting, simulation, deep learning, data visualization, and MLOps.
B.A. Accounting and Financial Management
Built a quantitative foundation in finance, strategy, and statistical analysis. Coursework included quantitative finance, stochastic processes, multivariable calculus, and equity investments.