Summary
Shrikrishna Padalkar is a Senior Data Scientist with a decade of experience applying machine learning across classification, regression, and NLP problems, currently based in Mumbai. He has built and deployed production models—CLTV and transaction propensity at Capillary Technologies, claim rejection and fraud detectors at ICICI Lombard—using Databricks and Azure ML. His NLP work spans both extractive and abstractive text summarization (TF-IDF, Word2Vec, RNN/LSTM), and he combines strong Python, statistics, and OOP practices to create modular, deployable solutions. Known for driving measurable business impact (e.g., capturing 70% of events in top 50% predictions and 84% rejection recall), he moves models from prototypes to production. He holds an M.Tech in Information and Network Security and maintains active coding profiles on GitHub and HackerRank, reflecting a continual focus on technical sharpening. Notably, he blends applied ML with software engineering discipline, enabling faster, reliable model operationalization in enterprise settings.
10 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree Computer Science and Engineering, Bachelor’s Degree Computer Science and Engineering at Doctor Babasaheb Ambedkar Marathwada University
M.Tech Information and Network Security, M.Tech Information and Network Security at Nirma Institute Of Technology
English, Hindi, Marathi