Selva Prabhakaran
Head Of Data Science (AI ML) (Principal Data Scientist)
Tamil Nadu, India
Summary
🤩
Rockstar🎓
Top School
Top expert inComprehensive Data Science and Machine Learning Skills
Selva Prabhakaran is a seasoned AI/ML leader with 12+ years of hands-on and managerial experience building production-grade data science solutions across Nissan, Samsung, Groupon, Fidelity, Caterpillar and Mu Sigma. As Head of Data Science at Nissan he combines deep statistical rigor with pragmatic engineering—authoring core R packages and running a widely read machine learning blog that reaches millions—while leading teams of 20+ to deliver high-impact enterprise products. His background spans the full AI stack from statistics, causal inference and optimization to generative AI, with proven success operationalizing models on large-scale automotive and supply-chain problems. Known for converting research-grade algorithms into stable, parallelized, repeatable pipelines, he also curates and standardizes ML datasets on GitHub to accelerate experimentation and reproducibility. Based in Tamil Nadu, Selva blends mechanical engineering roots with advanced analytics to solve complex, real-world business problems.
12 years of coding experience
6 years of employment as a software developer
SBOAB.E (Hons), Mechanical, B.E (Hons), Mechanical at Birla Institute of Technology and Science
Tamil
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
data-preprocessing10
csv10
rds10
r10
data-science8
Programming languages (2)
Github contributions (5)
selva86/datasets
Dec 2015 - Dec 2022
A collection of datasets of ML problem solving
Role in this project:
Data Scientist
Data ScientistContributions:124 commits, 123 pushes, 1 branch in 7 years 2 months
Contributions summary:Selva primarily focuses on preparing and providing datasets for machine learning tasks. Their work involves converting datasets from various sources (mlbench, kernlab, ISLR, etc.) into a standardized format by converting class labels. The user converts these datasets into CSV and RDS formats, demonstrating skills in data preprocessing and dataset management for machine learning experimentation. The commits show the user is working on setting up the data for different ML approaches.
solvingdata-sciencemachine-learningproblem-solvingproblem
selva86/selva86.github.io
Sep 2015 - Jan 2016
Contributions:109 commits, 122 pushes, 1 branch in 3 months
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