- Working with Professor Jonathan McKinney in Lally School of Business on NYS Voter Registration data- Focused on data wrangling and applying cutting-edge ML methods predict voter registration swapping across New York State

- Developed a long-lasting clientele, tutoring many clients for 7+ years both remotely and in-person

- Expanded prior Discrete Event Simulation grader position into TA, designing course material and leading weekly office hours

- Coordinated sessions to tutor students in math and physics courses from senior to introductory levels

Problem: RPI’s CRAFT desired business-focused insights on user behavior in growing decentralized finance lending markets to better understand product gaps and identify opportunities in a new marketApproach: Developed the scaleable R Shiny DeFi Survival Analysis Toolkit (Toolkit GitHub) from TheGraph’s API (80+ GB of data currently) to enable easy and understandable user creation of survival analysis curves describing user event-action probabilities over time and behavioral user clustering for market segmentation and targetingImpact: Two publications: Characterizing Common Quarterly Behaviors in DeFi and DeFi Survival Analysis: Insights Into the Emerging Decentralized Financial Ecosystem, won best oral presentation in RPI’s 2023 Undergraduate Research Symposium (Computational Sciences), and led weekly research meetings and a mini-conference for 10 undergrad researchers

Problem: Prior bottleneck in R&D due to manual screening of cellular image analysis post-treatment Approach: To address this, designed and implemented a cloud-contained, end-to-end, production-ready, multi-format data pipeline leading into co-developed multi-scale Convolutional Neural Network (CNN) for combined image/metadata analysisImpact: Drastically reduced time/labor costs by replacing large-scale manual image screening with quick model checks

Worked as Corn Maze/Apple Orchard Attendant, Food & Ticket Sales Clerk, and Sunflower Festival Attendant