As a Senior Data Scientist at Enlyft, I develop predictive models to generate customer propensity scores and automate analytical reporting, driving targeted prospecting and streamlined insights for B2B sales teams. My role involves leveraging Enlyft’s cutting-edge platform to support Fortune 500 and high-growth companies in identifying and engaging the right buyers with precision.Previously, at PharmEasy, I optimized warehouse operations and improved diagnostic test recommendations with advanced machine learning techniques. My accomplishments include creating a Bin Recommendation Engine that enhanced efficiency and developing a Scheme Prediction Engine that boosted margins.With experience in GCP, AWS, Databricks and a range of data tools, I’m passionate about using data science to solve complex problems and drive business value. Let’s connect to explore data-driven opportunities and innovations!
Listed skills include Web Development, Javascript, Python, Html5, and 28 others.