Teaching Assistant for Computational Methods in Fintech I (COT5480)

• Contributed to pre-clinical drug development through the prediction of how certain drugs affect disease pathways• Utilized Network-Based methods to organize data into graphs, facilitating Topological Data Analysis using libraries like Gudhi and Networkx for enhanced comprehension• Employed Pytorch Geometric Graph Neural Networks to conduct classifications on assessed targets, resulting in the further development of target prediction methodologies

• Leveraged Selenium and Beautiful Soup4 to systematically collect and organize natural language data from healthcare companies; data was then provided to bankers, contributing to a substantial increase in Q3/Q4 success rates to 90%• Collaborated with machine learning engineers to leverage the collected data towards developing a model; aimed to accurately classify companies within the healthcare sector based on their category and potential profitability