Enhanced Chase's credit card acquisition strategy by uncovering temporal trends across 36 months of application data, helping optimize the timing and structure of incentive offers. Leveraged advanced analytics — including machine learning, custom metrics, and intervention analysis — to access customer responses and evaluated the competitive landscape.

Conducted exploratory data analysis, tested multiple machine learning models, and facilitated model deployment to drive targeted marketing and resource allocation for banking campaigns.

Delivered Python solutions across image processing, web scraping, CRUD operations, and AWS integration, boosting efficiency and productivity.

Focused on probability and distribution theory, statistical inference, machine learning, and computational methods, gaining hands-on experience applying these techniques to real-world data science problems.

Built a strong foundation in data structures and algorithms, machine learning, database systems, applied regression, and advanced mathematics. Gained analytical expertise through the study of economic theory, econometrics, and game theory.