Ashwin Lahorkar

Senior Data Scientist

Pune, Maharashtra, India
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Summary

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Senior
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Top School
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.
code6 years of coding experience
job6 years of employment as a software developer
bookBachelor of Technology, Mechanical Engineering, Bachelor of Technology, Mechanical Engineering at College of Engineering Pune
bookMaster of Technology, Mathematical Modeling and Simulation, Master of Technology, Mathematical Modeling and Simulation at Savitribai Phule Pune University
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Github Skills (12)

jupyter-notebook9
deep-learning8
machine-learning8
pytorch8
python8
tensorflow7
neural-network6
ml5
deep-neural-networks5
polarization3
modeling3
cms2

Programming languages (3)

C++JavaScriptJupyter Notebook

Github contributions (5)

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L-ashwin/exploring-ml

Sep 2020 - May 2021

Contributions:60 commits, 49 pushes, 1 branch in 7 months
Contributions:37 commits, 24 pushes in 3 months
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