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Manoj Kumar NandiMK

Manoj Kumar Nandi

AI & Data Scientist | Python | Machine Learning

600 €/jour
Lyon, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Manoj Kumar

AI & Data Scientist | Machine Learning | Python | Statistical Modeling

I help organizations transform complex data into actionable insights using machine learning, statistical modeling, and AI-driven solutions. Whether your goal is predictive analytics, time-series analysis, anomaly detection, data visualization, or decision support, I develop reliable and interpretable solutions tailored to your business needs.

With a PhD in Theoretical Physics and more than eight years of international research experience in Japan, Italy, and France, I have extensive expertise in Python, SQL, machine learning, scientific computing, and large-scale data analysis. My interdisciplinary background allows me to combine advanced mathematical modeling with practical data science techniques to solve challenging analytical problems.

I have developed end-to-end data pipelines, machine learning workflows, predictive models, and visualization tools for large and high-dimensional datasets. My experience includes feature engineering, classification, clustering, statistical inference, signal processing, and scientific software development using Python, Scikit-learn, PyTorch, Pandas, NumPy, and SQL.

I am available for projects involving AI, data science, predictive modeling, data analysis, process optimization, scientific computing, and R&D across industries including finance, healthcare, pharmaceuticals, aerospace, and research.
  • Hindi

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

  • Français

    Capacité professionnelle limitée

Accepte de travailler sur site
Lyon (jusqu’à 50 km)

Expériences

  • University of Lyon 1 / CNRS
    Postdoctoral Researcher – Computational Neuroscience & Data Science
    RESEARCH
    mai 2023 - novembre 2025 (2 ans et 6 mois)
    Lyon, France
    • • Developed end-to-end Python pipelines for processing multi-channel time-series data: raw signal ingestion, filtering, feature extraction, and ML-based classification using PyTorch and Scikit-learn
    • • Applied supervised and unsupervised ML methods to classify complex system states from high-dimensional experimental data - analogous to process monitoring in pharmaceutical manufacturing
    • • Developed and validated neural circuit models using coupled differential equations to reproduce and predict experimentally observed brain oscillation paterns (gamma/beta bursting)
    • • Co-supervised M2 graduate student; published in
    Python Pytorch Machine learning SQL Statistiques
  • University of Campania 'Luigi Vanvitelli'
    Postdoctoral Researcher – Computational Neuroscience
    RESEARCH
    décembre 2020 - novembre 2022 (1 an et 11 mois)
    Italy
    • • Developed computational models and analytical tools for studying complex system dynamics using statistical and numerical methods
    • • Processed and analysed large-scale datasets to identify paterns and scaling behaviours in high-dimensional systems
    • • Investigated fluctuation-dissipation relations in neural network models (Wilson-Cowan model); published in E 107, 064307
    • • Analysed scaling of avalanche shape and activity power spectrum in neuronal networks; published in E 106, 024304
    Data visualisation Programmation C/C++ Statistiques Data science Data analysis
  • Nagoya University
    Postdoctoral Researcher – Simulation & Computational Modelling
    RESEARCH
    février 2018 - mai 2019 (1 an et 3 mois)
    Japan
    • • Ran and analysed large-scale molecular dynamics simulations using LAMMPS on Linux HPC clusters; developed C++/Python post-processing tools for high-throughput data analysis Designed novel numerical algorithms correlation analysis complex multi-component systems Developed original for non-equilibrium systems; built and pipelines analysing millions of data points per trajectory
    Programmation C/C++ Scientific Writing Data analysis Data visualisation

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Formations

  • Ph.D. in Physical Sciences –
    CSIR-National Chemical Laboratory
    2018
    Ph.D. in Physical Sciences –
  • M.Sc. Theoretical Physics
    University of Calcuta
    2010
    M.Sc. Theoretical Physics

Compétences

Catégories