Yogesh Agrawal is a Lead Data Scientist based in Bengaluru with nine years of experience turning complex business problems into production-ready ML and analytics solutions. He combines a strong mathematical foundation (statistics, probability, linear algebra) with hands-on expertise in Python, PySpark, ML/DL, NLP and deployment on AWS and cloud hosts to deliver scalable models for enterprise clients. His background spans full-stack web development and JavaScript ecosystems, enabling him to bridge data science and engineering for end-to-end productization. A Kaggle contributor and self-described "mad datascientist," he is comfortable working from low-level math proofs to feature engineering, time-series forecasting and fuzzy string matching in real-world pipelines. Known for mentoring and leading COE/Research initiatives, he has repeatedly moved proofs-of-concept into production across firms like Mindtree, Affine and AB InBev. Outside core ML work he’s a Linux enthusiast and prolific problem-solver who blends curiosity-driven experimentation with business impact.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science & programming, A, Bachelor of Engineering - BE, Computer Science & programming, A at S J B Institute of Technology, BANGALORE
Contributions:9 commits, 1 PR, 19 pushes in 7 months
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