Neeraj Prakash

Senior Data Scientist

Karnataka, India
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Summary

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Senior
🎓
Top School
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.
code7 years of coding experience
job3 years of employment as a software developer
bookB. Tech in Computer Science with Honors, B. Tech in Computer Science with Honors at Silicon Institute of Technology (SIT), Bhubaneswar
bookHigh School, Science, High School, Science at Jawahar Navodaya Vidyalaya, Chaibasa
bookPostgraduate Diploma, Applied Statistics, Postgraduate Diploma, Applied Statistics at Indian Statistical Institute, Kolkata
languagesEnglish, Hindi
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Github Skills (11)

pytorch10
python10
data-science9
tensorflow9
machine-learning9
deep-learning9
jax8
neural-network7
convolutional-neural-networks5
scale4
keras1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Colourizing balck and white (gray-scale images) using convolutional neural networks in python
Contributions:19 commits, 1 PR, 14 pushes in 2 months
pythongray-scaleconvolutionalneural-networksscale
Contributions:4 pushes, 1 branch in 3 years 4 months
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Neeraj Prakash - Senior Data Scientist