Pranjall Kumar is a data scientist with 9 years of industry experience and 4.5 years focused on applied data science and MLOps, building production-ready ML solutions across industrial automation, energy, and manufacturing domains. He has led small teams to deliver agentic GenAI pipelines and graph-based part-recommendation systems on Azure, and engineered low-latency computer vision models deployed as Docker containers on edge devices for Siemens projects. Comfortable across the ML lifecycle, he combines statistical modeling, TensorFlow/Scikit-Learn development, Pytest-driven unit testing, and cloud orchestration to turn complex unstructured inputs into actionable insights. Notably, he translated unstructured PDF specs into a graph database for weighted-part matching and has a track record of optimizing camera calibration and asynchronous image pipelines for multi-camera industrial systems. He balances a strong technical rigor with knowledge sharing—writing data science blogs—and a creative eye through photography, reflecting both analytical depth and curiosity.
9 years of coding experience
3 years of employment as a software developer
Master of Technology - MTech, Computer Science, Master of Technology - MTech, Computer Science at Indian Institute of Technology (Indian School of Mines), Dhanbad
Master's degree, Data Science, Master's degree, Data Science at International Institute of Information Technology Bangalore
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at University of Mumbai
Contributions:9 pushes, 1 branch in 2 years 8 months
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