Experience -

StackAdapt | Aug 2023 - Present

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.
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.

BrokerLink | Dec 2021 - May 2023

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.

Education

Georgia Institute of Technology

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.
Applied advanced analytics methods to business and product-facing decision problems.

Education

University of Waterloo

Built a quantitative foundation in finance, strategy, and statistical analysis.

Coursework included quantitative finance, stochastic processes, multivariable calculus, and equity investments.
Built core business and analytical reasoning skills used in BI and commercial analytics roles.

Experience