Summary
Ashwin Lahorkar is a Senior Data Scientist based in Pune with a strong foundation in mathematical modeling, machine learning, and network science, and over six years of hands-on experience converting complex operational problems into production-ready AI solutions. He has driven measurable impact in logistics and revenue operations—building multimodal classification systems, demand and labor forecasting pipelines, and a VEO framework that streamlined RevOps decisioning. At Pitney Bowes he pioneered computer vision for warehouse automation and introduced scenario-based network simulations that cut exceptions and forecast error significantly, and he now continues applied AI work at Maersk. His background in mechanical engineering and an MTech in Mathematical Modeling gives him a rare ability to blend physical-system intuition with modern ML techniques. Colleagues describe him as a practical researcher who productizes prototypes (e.g., mobile-deployed TFLite models and collaborative-filtering sales-opportunity engines) rather than leaving work at proof-of-concept. He prefers solving cross-functional problems where modeling, systems thinking, and clear KPIs turn analytics into operational value.
6 years of coding experience
6 years of employment as a software developer
Bachelor of Technology, Mechanical Engineering, Bachelor of Technology, Mechanical Engineering at College of Engineering Pune
Master of Technology, Mathematical Modeling and Simulation, Master of Technology, Mathematical Modeling and Simulation at Savitribai Phule Pune University