Manish Kumar - Principal Data Scientist

Manish Kumar

Principal Data Scientist

Ludwigshafen am Rhein, Rhineland-Palatinate, Germany

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Summary

👤

Senior

🎓

Top School

Manish Kumar is a Principal Data Scientist with nine years of experience building and deploying AI solutions across Chemicals, Pharma, Healthcare, and Retail, currently leading AI efforts at BASF in Ludwigshafen. He blends classical ML, time series forecasting, deep learning and AutoML with production-grade GenAI and OCR pipelines—recently delivering a multilingual purchase order extraction service deployed via FastAPI and Azure. His background spans consulting and enterprise software roles at KPMG, Tech Mahindra and Accenture, giving him strong end-to-end delivery instincts and stakeholder-facing product sense. Holding advanced studies in Cognitive Science and a PhD trajectory in Artificial Intelligence, he brings research-led rigor to practical engineering problems. Outside work he pursues macro and nature photography and follows Cricket and Formula 1, reflecting a detail-oriented mindset and a taste for high-speed, strategic thinking.

9 years of coding experience

11 years of employment as a software developer

Higher Secondary Computer Science, Higher Secondary Computer Science at Delhi Public School

Bachelor's degree Computer Science, Bachelor's degree Computer Science at Savitribai Phule Pune University

Master's degree Cognitive Science, Master's degree Cognitive Science at Universität Osnabrück

PhD Artificial Intelligence, PhD Artificial Intelligence at Technische Universität Clausthal

English, German, Hindi

Github Skills (72)

regression10

tabular10

prediction10

model-compression10

resnet10

mamba10

preprocessing10

classification10

ssm10

nas10

econometrics9

espn9

statsmodels9

regression-models9

Programming languages (3)

RJupyter NotebookPython

Github contributions (5)

mkumar73/neural-nets

Apr 2018 - Oct 2018

Contributions:176 commits, 150 pushes, 1 branch in 6 months

mkumar73/time-series

Aug 2018 - Oct 2019

Time series forecasting experiments using machine learning, deep learning and statistical methods.

Contributions:172 commits, 4 PRs, 153 pushes in 1 year 2 months

forecastingpythontime-series-analysisdeep-learningseries-forecasting

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