Winning ASA DataFest ML Model + Insights

Colleagues were Alex Feng and Wei Yu Tang

A project as part of the Oregon Chapter ASA organization, the goal was to characterize and displayed patterns of play from data collected by researchers at the Yale School of Medicine.

I analyzed logs of ~200 test participants to provide real-life behavior insights on correlation between game behavior and efficacy in resisting drugs.

The result was a large open-ended exploration and statistical analysis, followed by machine learning techniques for inference and regression testing.

My team and I were awarded first place for the finest statistical analysis and insights after analyzing the relevance of more than 60 features using regression machine learning models and significance analysis.A project as part of the Oregon Chapter ASA organization, the goal was to characterize and displayed patterns of play from data collected by researchers at the Yale School of Medicine. I analyzed logs of ~200 test participants to provide real-life behavior insights on correlation between game behavior and efficacy in resisting drugs.The result was a large open-ended exploration and statistical analysis, followed by machine learning techniques for inference and regression testing. My team and I were awarded first place for the finest statistical analysis and insights after analyzing the relevance of more than 60 features using regression machine learning models and significance analysis.

Skills: 

 · Large Language Models (LLM)

· GitHub

· Programming

· Data Analysis

· R (Programming Language)

· Regression Analysis

· Python (Programming Language)

· Machine Learning