About Manoj Kumar
Data Scientist | AI | Python | Machine Learning |Data Analyst
I transform complex, high-dimensional data into scalable AI solutions and clear business outcomes. With a PhD in Physics and 8+ years of advanced analytical experience across international research hubs (France, Japan, Italy), I bridge the gap between complex mathematical theory and corporate execution.
Core Business Value & Expertise:
Predictive Analytics: Building ML models to forecast trends, reduce operational risk, and guide strategic decisions.
Process Automation: Engineering robust end-to-end Python/SQL pipelines that accelerate data workflows and cut computing costs.
Time-Series & Anomaly Detection: Designing custom algorithms to catch inefficiencies, system failures, or data irregularities early.
My goal is to deliver clean, highly maintainable, and production-ready code that turns data into clear, actionable business outcomes.
Tools
Python • SQL • Pandas • NumPy • Scikit-learn • PyTorch • SciPy • Matplotlib • Git
Why work with me?
• Elite Problem Solver: Advanced statistical expertise to tackle complex data engineering challenges traditional analysts miss.
• Production-Ready Code: I write clean, well-documented, and maintainable Python/Git workflows ready for your internal teams.
• Clear Communicator: I translate multi-dimensional technical models into clear, actionable insights for business stakeholders.
Let's turn your data into practical, measurable business results.
English
Fluent
French
Conversational
Hindi
Fluent
Bangla
Native or bilingual
Remote only
Primarily works remotely
Experience
- University of Lyon 1 / SBRIPostdoctoral Researcher – Computational Neuroscience & Data ScienceRESEARCHMay 2023 - November 2025 (2 years and 6 months)Lyon, France- Designed and deployed end-to-end Python ETL data pipelines for processing massive, large-scale time-series data streams; optimized preprocessing steps to maximize data ingestion efficiency.- Engineered supervised and unsupervised machine learning models (PyTorch, Scikit-learn) to classify complex system patterns, successfully translating high-dimensional raw datasets into actionable insights for cross-functional project teams.- Designed predictive computational models and statistical analyses to interpret complex data and validate analytical hypotheses.- Automated data processing and analysis workflows, improving efficiency, reproducibility, and scalability of research projects.- Collaborated within multidisciplinary international teams, co-supervised graduate students, and contributed to peer-reviewed scientific publications.
- University of Campania 'Luigi Vanvitelli'Postdoctoral Researcher – Computational NeuroscienceRESEARCHDecember 2020 - November 2022 (1 year and 11 months)Italy- Streamlined data infrastructure by processing and cleaning large-scale datasets using robust statistical methods, advanced time-series analysis, and interactive data visualization techniques.- Built numerical models and predictive data products to identify hidden patterns, validate analytical hypotheses, and solve complex operational modeling challenges.- Designed reproducible data analysis workflows, combining simulation, statistical modeling, and quantitative analysis.- Collaborated with international research teams and published findings in leading peer-reviewed journals.
- Nagoya UniversityPostdoctoral Researcher – Simulation & Computational ModellingRESEARCHFebruary 2018 - May 2019 (1 year and 3 months)Japan- Performed large-scale molecular dynamics simulations using LAMMPS on Linux high-performance computing (HPC) clusters.- Developed Python and C++ tools to automate data processing, post-processing, and analysis of large simulation datasets.- Designed numerical algorithms and statistical methods to analyze complex multi-component systems and extract meaningful patterns.- Built efficient analytical workflows for processing and visualizing millions of simulation data points, improving reproducibility and computational efficiency.- Collaborated on international research projects, contributing to computational modeling.
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Education
- Ph.D. in Physical Sciences –CSIR-National Chemical Laboratory2018Ph.D. in Physical Sciences –
- M.Sc. Theoretical PhysicsUniversity of Calcuta2010M.Sc. Theoretical Physics