Real projects where I solved actual problems and turned data into decisions that drive business value
Analyzed 35+ years of gaming industry sales data to forecast 2017 product success across platforms, regions, and genres. Built statistical models to identify success patterns, then translated complex findings into clear marketing recommendations that non-technical teams can act on immediately.
Applied statistical hypothesis testing to analyze telecom customer behavior across 5 datasets. Converted technical statistical outputs (p-values, confidence intervals) into a clear executive recommendation on which calling plan to prioritize—bridging technical analysis and business decision-making.
Analyzed 30 million grocery transactions by systematically connecting 5 datasets to uncover customer shopping patterns—purchase timing, product pairings, and reorder behavior. Delivered insights in a Jupyter notebook designed for product managers to understand and act on immediately.
Analyzed streaming platform data to guide content acquisition decisions. Systematically cleaned messy data (missing values, inconsistent formats, duplicates) and built reusable analytical functions—demonstrating engineering practices that scale beyond one-off analyses to production-ready solutions.