• Identified opportunities to support the business via core consumer product enhancements (vehicle pricing models, sort algorithms, recommendation systems), internal tools, marketing optimizations, and dealer tools.
• Delivered strong ROI across the team as measured by AB testing of optimizations and new products.
• Introduced real time inference capabilities via AWS sagemaker and docker/flask apps where previously data science had been limited to batch processes or linear models where coefficients could be handed off to other teams for implementation.
• Work with a team of 7 on data science and data engineering contracts, with a primary focus on pricing models in the automotive industry (Acquired by TrueCar).
• Contracted with Honda advanced product planning on future market demand.
• Built a fully functioning SaaS product for dealerships to price their inventory, with superior modeling capabilities and UX to VAuto.
• Built all infrastructure to move the company from passing excel sheets to a full AWS ecosystem.
• Leveraged an ensemble of machine learning techniques, including deep learning neural networks, which are weighted and aggregated to produce final recommendations.
• Owned all data infrastructure and modeling as the company raised a 10M series A round.
• Modeled the impact of different vehicle options and conditions on used car prices.
• Worked toward the first version of the TrueTrade product, TrueCar’s first additional revenue stream aside from the core vehicle sales business.
• Evaluated the effectiveness of TV marketing on website traffic. Built models to look at the lift in views immediately following ad airings. This resulted in optimized spend by station and creatives, saving millions. Created Tableau dashboards that summarized all results in a concise and intuitive manner for executive use.
