Data science that ships, in whatever domain the problem lives.

Senior Data Scientist

• Built and deployed U-Net models that segment 50+ battery components from CT scans, reaching 98% recall on critical checks across 2,000+ new batteries a day. They are the final quality gate for every Tesla 4680 cell.
• Forecast thermal-runaway risk over the battery warranty life using telemetry from 3.5 million vehicles, to qualify next-generation cells.
• Maintain the ETL and dashboard pipeline for CT metrology (electrode overhang, core concavity, cathode gap), which saves 200+ technician hours a week.

Data Scientist

• Built a marketing measurement product on real-time 3D pose data that generated $600K in new revenue for a client in 3 months.
• Led in-store A/B tests at Compass Group USA that raised interaction-to-purchase conversion by 7 percentage points.
• Built a Monte Carlo engine for shelf-to-shelf transitions. Layout changes based on it lifted entrance-area revenue by 15%.

Cell Engineer Intern

• Built a Vision Transformer that detects core impingement and collapse in CT scans, improving defect recall by 40%.
• Replaced several $27K Keyence machines with a CT-based method that measures cell bulge to within 50 µm.

Summer Associate, Credit Fraud Risk

• Improved the PySpark small-business loan default model by 14% with features for erratic repayment, seasonal revenue, and spikes in credit utilization.
• Made high-risk applicant segments explainable for federal regulatory audits using feature binning and hierarchical clustering.

Undergraduate Researcher

• Built an algorithm for the optimal compressor wash interval on AE3007 engines and shipped it as an R Shiny app, cutting analysis time from 3–4 hours to under 5 minutes.

Research & internships