6+ years running full-spectrum mixed-methods research across enterprise tech, e-commerce, and regulated clinical environments. I've built UX research practices from scratch, run the Double Diamond end-to-end from contextual inquiry to stakeholder buy-in, and bring a data science edge — NLP, behavioral analytics, statistical testing — to everything I research.
- 🔭 Currently: Co-op Data Scientist @ ABIM — NLP pipelines for clinical communication analysis, annotation taxonomy design, AI bias detection on 3,500+ clinical records
- 🎯 Previously: UX Researcher & Sr. Technical Lead @ John Deere — sole researcher for India team, built PM-UX Playbook, led research across 6+ product teams
- 🌱 Also: UX research at UrbanFit (wellness), Capita/Arcadia Group (e-commerce personalization for 7 fashion brands)
- 💬 Ask me about: contextual inquiry · usability testing · research ops · Double Diamond · Dovetail · Figma
Qualitative Methods
Quantitative Methods
Tools & Platforms
| Project | Description | Stack |
|---|---|---|
| PocketSaver | Fullstack expense tracker with Dockerized backend and PostgreSQL | Python · Docker · PostgreSQL |
| DocNotetaker-Realtime | Real-time AI-assisted document note-taking app | TypeScript |
| Conversational AI Distress Support | NLP system for early mental health risk detection | Python · NLP · Deep Learning |
| Fake Profile Detection (DNN) | Adversarially-trained neural networks detecting fake social profiles | Python · TensorFlow |
| Traffic Simulator RL | Deep RL agent for urban traffic signal optimization | Python · RL |
| Digit Recognition CNN | CNN trained on MNIST with a live drawing GUI | Python · TensorFlow · Tkinter |
Open to UX Research roles — feel free to reach out!