Senior Manager, Data Science And Analytics
Current* Lead and oversee a team of data scientists and data engineers working in the machine learning and AI space: managing day-to-day operations, ensuring project deliverables, mentoring junior data scientists by reviewing code, pressure-testing results, and brainstorming new approaches to solve complex problems.* Automated a B2B schedule optimization tool using Docker, AWS, and ETL pipelines for shipping clients, reducing manual ad-hoc work substantially by defining a project roadmap and adding data visualization features. Utilized Tableau for offline visualization development. * Developed a MILP-based solver utilizing Gurobi to optimize the operations of a pharmaceutical manufacturer and utilized numerical experimentation to adjust constraints, accelerating time to market without increasing costs, resulting in increased market share, production capacity, and projected revenue growth.* Demonstrated the positive lifetime incrementality of a new cash back rewards program by applying Propensity Score Matching (PSM) and Causal Inference to compare enrolled customers with a matched set of shadow customers, establishing the program’s causal impact on customer lifetime value. * Reduced operating costs of a large shipping company by ~5% through understanding the client’s business needs and developing ground operations modeling tools and employing Stochastic Local Search (SLS) for schedule optimization, resulting in ~$6M annual cost savings.* Developed a Monte Carlo and linear optimization based method in Python for redesigning routes and driving operational cost savings.
