Experience
Data Analyst II, Technical Operations
Lead analytics products and experimentation for CTV monetization, fraud prevention, and platform quality.
- Increased YoY CTV revenue by 150%+ by launching a media encoding pipeline feature used by major publishers including Disney, NBCU, and Paramount.
- Reduced fraudulent ad placements to under 3% and cut investigation time by 70% with dbt models and executive dashboards.
- Improved CTV revenue-to-impression ratio by 25% through end-to-end A/B test design, metric definition, and analysis.
- Raised automated feature adoption by 50% after surfacing 35% underutilization and partnering with product and engineering on improvements.
SQL · Python · dbt · Tableau · Spark · Snowflake
Business Intelligence Analyst
Built underwriting and retention analytics workflows that supported commercial decision-making and operational efficiency.
- Helped reduce average claim value by 12% and improved loss ratio by 5% over three fiscal quarters.
- Built AWS pipelines with Glue, Lambda, and S3, cutting processing time by 50% and saving about 20 analyst hours weekly.
- Developed Power BI dashboards for KPI and alert monitoring, improving decision speed by 15% and alert response time by 10%.
- Delivered retention modeling in Python with XGBoost that supported a 40% Q4-to-Q1 lift in commercial lines retention.
Power BI · Python · XGBoost · AWS · Lambda · Glue
Education
Georgia Institute of Technology
M.S. Computational Analytics
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.
University of Waterloo
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.