Neeraj Prakash is a Senior Data Scientist based in Bengaluru with 8 years of experience applying scalable ML and big-data engineering to business problems. He has built production-ready PySpark pipelines and MLFlow-backed models for CLV optimization, propensity and look-alike modeling, and survival-analysis churn prediction across enterprise engagements at TCS and now Nielsen. Trained at Indian Statistical Institute and with a B.Tech in Computer Science, he blends statistical rigor with deep-learning curiosity (TensorFlow/Keras) to tackle both classical and neural approaches. Pragmatic about deployment, he focuses on efficient big-data queries and reusable model templates that shorten time-to-value. A detail that stands out: he pairs advanced survival-analysis techniques with operational ML engineering—bridging analytical depth and production readiness.
7 years of coding experience
3 years of employment as a software developer
B. Tech in Computer Science with Honors, B. Tech in Computer Science with Honors at Silicon Institute of Technology (SIT), Bhubaneswar
High School, Science, High School, Science at Jawahar Navodaya Vidyalaya, Chaibasa
Postgraduate Diploma, Applied Statistics, Postgraduate Diploma, Applied Statistics at Indian Statistical Institute, Kolkata
Contributions:4 pushes, 1 branch in 3 years 4 months
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