New York, New York, United States
Sole intern. Focused on building automated frameworks to identify potential investments. Developed programs to optimize options strategies. Built to evaluate multiple options contracts related to a single underlying asset. Expanded to compare across multiple underlying assets. Created model to predict probability of certain outcomes based on historical data. Primarily built models in Excel. Pulled data from Bloomberg. Modified and improved existing Python program used to simulate potential investment returns.
Built a regression model in Python to explain agent referral anomalies and better allocate referrals to agents, increasing agent productivity. Learned the Pandas and Sklearn libraries. Built a comparative model assessing agent performance. Pulled data using Looker to build a model in Excel. Model compared OJO’s conversion performance versus its key competitor at each step of the purchase funnel and highlighted priorities for future product development.