For Machine Learning and Intro to Programming- Led weekly recitation sessions, office hours, and 1-on-1 meetings to reinforce key concepts (loops, OOP, recursion, graph theory, animation, ML), support students in exam preparation, and encourage coding best practices

- Designed pipeline to convert Excel data on 200,000+ brokerage accounts into gold-level datasets within AWS- Created automated scripts using Python, SQL, and Databricks to detect 99.5% of account anomalies in 2023 based on accounting rules and exceptions resulting from 24-7 cryptocurrency trading- Created rule notebook to fix 78% of account anomalies in 2023, saving financial managers at least 1 hour/day

- Oversaw consumer retail, technology, and industrials holdings in $800,000+ equity portfolio- Led four teams of 7-8 members in novel stock pitches and reviews resulting in $90,000+ in transactions- Gave weekly updates on the consumer staples industry and global macroeconomic trends

- Designed ensemble deep learning and gradient-boosting models using Python, Tensorflow, XGBoost, LightGBM, and scikit-learn to reduce error in key rotorcraft performance metric predictions by over 90%- Automated testing of over 1,500 neural network configurations using Optuna and KerasTuner - Amended machine learning pipeline with data visualization capabilities to pinpoint strength of airfoil performance predictions at different angles-of-attack and Mach number for the top 50 models - Co-authored the research paper "Synthetic CFD Estimation for Blackhawk Airfoil Drag Coefficient"- Work featured in laboratory research symposium and RD 2022 conference reaching over 600 attendees