Industry Practicums
Required placements inside real organizations — the bridge between academic ML and enterprise deployment
Practicum · 2019 · Global Insurance
Zurich Insurance Group
Graduate Student Consultant · Chicago, IL
Predictive Modeling
Developed and validated predictive models in a real enterprise data environment. Applied statistical learning to insurance-domain data at scale.
Stakeholder Engagement
Presented findings and recommendations to Zurich's data science organization. Translated model outputs into actionable business insights.
Predictive Modeling
Python
R
Insurance Analytics
Statistical Learning
Capstone · 2019 · Mapping & Location Intelligence
Here Technologies
Graduate Student Consultant · Chicago, IL
Geospatial ML
Applied ML techniques to geospatial and location data problems. Worked directly with Here's engineering and data science teams throughout the engagement.
Feature Engineering
Geospatial feature engineering techniques that became a recurring foundation — later applied at Horizon Media for geo-based audience modeling.
Geospatial ML
Location Data
Python
Feature Engineering
Prototype Development
Publications & Recognition
Work from the program that made it outside the classroom
Jan 2019
Published on the Northwestern MSIA student blog. Introduced EloR, an Elo-based rating system adapted for international rugby union — with adaptive K-factors, home advantage corrections, and recency weighting. The methodology has since been referenced by analysts in the rugby analytics community, including the team at
RugbyHawk.
May 2019
Featured in Northwestern McCormick School of Engineering news coverage of the MSIA hackathon — exploring business opportunities and model applications using consumer credit data.
