I'm a data analyst at Fighting Illini Athletics and a research collaborator with the Human-Computer Integration Lab at the University of Chicago.
Through my work, I explore how to integrate new sensing and feedback modalities to enhance daily living. My research interests lie in human-computer interaction, health sensing, and machine learning.
Siya Choudhary, Romain Nith, Jas Brooks, Yun Ho, Mithil Guruvugari, and Pedro Lopes
Gathered and analyzed data from the Fitbit API with Python, selecting key features for sleep score prediction. Performed regression analysis to develop a highly accurate model, achieving an R-Squared value of over .91
Analyzed Illinois Olympic Sports strength test data collected on the Hawkin Dynamics Platform. Performed correlation and regression analysis using scikit-learn in Python to select key variables influencing test performance, helping identify overtraining in athletes
Implemented a neural network model on a large dataset (350000+ examples) to predict customer churn using TensorFlow for a data science competition on Coursera. Achieved a score for the evaluation metric (AUC) in the top 10% of submissions worldwide