A timeline of my work outside of personal projects.
Summer 2026
Data Science/Engineering
John Deere — Chicago, IL
- Modeled e-commerce trends with clickstream data on shop.deere.com.
- Plotted effects of dealer-company pricing differentials.
- Introduced seasonality and discounting to causal model, cut initial RMSE by 50%.
Spring 2026
Solar Emergence ML Research
NASA Ames — UC Berkeley Data Discovery Program
- Worked under Dr. Irina Kitiashvili to study solar emergence using machine learning techniques.
- Developed LSTM modeling techniques for solar emergence prediction.
- Slashed background noise by 80% on average for improved signal clarity.
- Optimized computer vision pipelines to analyze anomalies in magnetogram, power, and visual datasets.
- Employed novel normalization techniques on higher-dimensional satellite data.
Software Engineering
CalBlueprint
- Architected comprehensive UI/UX solutions for non-profit Ecovet Global.
- Collaborated with cross-functional teams; deployed fullstack solutions.
- Supported the development and deployment of accessible software for the public good.
Summer 2025
Data Analyst Intern
John Deere — Moline, IL
- Analyzed enterprise-scale operational order fulfillment data, modeled key trends.
- Built predictive modeling project using R, SQL, and ML models, to identify shipping anomalies.
- Cut base sale time prediction error by 70% in two months.