Projects & products
Projects & Products
Products I've built and shipped, alongside coursework from Columbia's M.S. in Operations Research and my undergraduate studies: experiments designed end to end, optimization models built on real ride, crime, and population data, and machine learning on graphs and images. Each case study spells out the problem, my individual contributions, and the results.
- Products shipped
- 1
- Academic case studies
- 6
- GPA · Columbia University
- 3.95/4.00
Showing 7 items
- SaaS / Web ProductLive
Remember
Consumer SaaS · Collaboration
A shared journal for the people you keep: one private Space per couple, family, or friend group.
- Next.js 16
- React 19
- TypeScript
- +5
- Academic ProjectData AnalyticsApr 2026 – May 2026
Onboarding Email A/B Test
Applied Analytics
Designing and analyzing an experiment on personalized vs. generic onboarding emails for a B2B SaaS free trial.
- SQL
- Google BigQuery
- A/B Testing
- +2
- Academic ProjectAI/MLJan 2026 – Apr 2026
Predicting Startup Success from Investor Networks
Using funding-network features and graph ML to predict which US AI startups succeed, with a VC mentor.
- Python
- XGBoost
- GraphSAGE
- +3
- Academic ProjectData AnalyticsMar 2026
Uber Driver Signup Funnel Case Study
Applied Analytics
Diagnosing where prospective drivers drop out of the signup funnel and which metrics the team should track.
- SQL
- Google BigQuery
- Looker
- +1
- Academic ProjectOptimizationOct 2025 – Dec 2025
Safety-Aware Routing for Columbia's Evening Shuttle
Transportation & Supply Chain Analytics
Prioritizing riders in unsafe zones on a shared-ride shuttle while keeping total wait time minimal.
- Python
- Network Optimization
- Dijkstra's Algorithm
- +3
- Academic ProjectOptimizationSep 2025 – Oct 2025
Eliminating Childcare Deserts in New York State
Optimization Models
Mixed-integer models for where to build and expand childcare facilities at minimum cost and maximum fairness.
- Python
- Gurobi
- Mixed-Integer Programming
- +3
- Academic ProjectAI/MLDec 2024 – Feb 2025
Satellite Land-Type Recognition
Data Science (Renmin University)
A convolutional neural network that classifies land type from satellite imagery.
- Python
- CNN
- Transfer Learning
- +1