- Acted as technical lead, where I led a cross-functional squad of 8 to improve on fuel data quality from the raw embedded firmware through to data science smoothing algorithms - Led the data science work for the Geotab Data Connector Initiative, allowing fleet managers to ingest Geotab data via common Business Intelligence tools in a zero-code environment- Delivered presentations on Geotab's data MVPs at Reuter's Impact Mobility Conference, Geotab Data Bootcamps, and Internal Developer Summit to educate our reseller partners and strengthen Geotab's brand- Designed Geotab's patented, end-to-end unsupervised anomaly detection pipeline for core IoT data, monitoring across petabytes of raw tables such as GPS, engine status, and engine fault logs with proper alerting mechanism- Created the Contextual Risk Index and Safety Benchmarking API, which enables fleet managers to measure fleet-level and vehicle-level safety scores and manage other risk-related dimensions- Launched the Motorpooling Assessment API to help fleet managers save on underutilized vehicles based on fleet duty cycles, resulting in savings of up to 5 vehicles in each hub location for US state government fleets- Mentored new Geotabbers, acting as subject matter expert for SQL query optimization, pipeline design and API creation- Advocated for a streamlined development environment using cloud virtual machines to enable Collaborative Programming- Improved the ETL pipeline for Geotab's EV Suitability Assessment across major markets, which generated insights regarding fleet duty cycles relative to EV range and cost savings as compared to internal combustion engine vehicles