Work

Data Engineer, Privacy

Menlo Park, CA

• —Platform migration completed in 9 months vs. projected 18 months — delivered $14M in OPEX savings, recognized as Risk org's Top 10 Wins
• —Built LLM-based automation generating assessor reports — cut turnaround by 70%, enabling faster regulatory audit responses
• —Designed cross-org productivity metric + self-serve analytics layer — saved 13 engineering weeks, drove 10% efficiency lift, adopted as monthly exec metric
• —Conducted bottleneck analysis across Privacy Infrastructure — directly informed H2 AI investment priorities for exec leadership
• —Engineered cross-app soft match detection pipelines — reduced runtime by 73%, prevents multi-million-dollar regulatory exposure
• —Mentored 5 engineers, authored DE docs, 200+ code reviews, 30 technical screens

Data Engineer (Contract)

Menlo Park, CA

• —Scaled pipelines for Population Density Maps across 200+ geographies — supporting humanitarian & public health planning
• —Automated geospatial uploads to AWS — enabled 1M+ downloads for humanitarian relief organizations
• —Ingested 50+ TB of satellite imagery — drove 35% false positive reduction for COVID-19 vaccine delivery planning maps

Data Scientist / Analytics Consultant

Philadelphia, PA

• —Built ARIMA pipelines forecasting patient movement across 700+ treatment codes — surfaced via dynamic dashboards to support operational planning

Data Science Developer

Philadelphia, PA

• —Built ML system to classify network traffic patterns and detect anomalies in real time — integrated Slack API alerting for ops response
• —Reduced pipeline runtime by 90% through parallelisation