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mahendranandi/README.md

👋 Hi, I'm Mahendra Nandi

Data Scientist | Machine Learning | Demand Forecasting | Time Series

I'm a Data Scientist with 4+ years of experience in Machine Learning, Statistical Modelling, and production ML pipelines.

Currently working at EY, where I work on end-to-end demand forecasting solutions across multiple international markets, combining classical statistical models, machine learning, and foundation time-series models.

🔭 What I work on

  • 📈 Demand Forecasting & Time Series Modelling
  • 🤖 Machine Learning & Statistical Modelling
  • 🧠 Foundation Models for Time Series
  • ⚙️ Production ML Pipelines & Optimization
  • ☁️ Azure Databricks & Distributed Computing
  • 🐍 Python-based Data Science Solutions

🛠️ Tech Stack

Languages & Data

Python SQL PySpark

Machine Learning & Forecasting

Scikit Learn XGBoost TensorFlow PyTorch

Forecasting: ARIMA · SARIMA · SARIMAX · TimeGPT · Chronos

Data Science

Pandas NumPy Matplotlib OpenCV

Platforms & Distributed Computing

Azure Databricks Docker

Distributed Computing: PySpark · Ray

📌 Featured Areas

📈 Time Series & Forecasting

  • Demand forecasting
  • ARIMA / SARIMA / SARIMAX
  • Foundation time-series models
  • Forecast evaluation & benchmarking

🤖 Machine Learning

  • Regression & classification
  • Feature engineering & selection
  • Ensemble methods
  • Model validation & performance analysis

🧠 Deep Learning & Computer Vision

  • CNN-based architectures
  • Image captioning
  • Image processing & feature extraction
  • Camera calibration

🔬 Statistical Modelling

  • Survival analysis
  • Kaplan-Meier estimation
  • Cox proportional-hazards modelling
  • Statistical forecasting

🎓 Education

M.Sc. in Data Science
Ramakrishna Mission Vivekananda Educational and Research Institute
2020 – 2022 | SGPA: 8.5/10

🔗 Connect with me

LinkedIn

GitHub

📧 mahendranandi.rkma@gmail.com

GitHub Stats

Popular repositories Loading

  1. Image_Captioning Image_Captioning Public

    Image captioning using ResNet50 and LSTM in keras library. An application of both CV (Computer Vision) and NLP(Natural Language Processing) concepts.

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  2. NIFTY-Share-Market-Price-Prediction NIFTY-Share-Market-Price-Prediction Public

    Time series analysis on NIFTY data ( bank,oil,metal,it ) using GARCH model in R.

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  3. Optimization-Algorithm Optimization-Algorithm Public

    For learning, visualizing and understanding the optimization techniques and algorithms.

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  4. books-review books-review Public

    Visualisation and Analysis [EDA] of the boooks-review dataset in R and python using different libraries.

    Jupyter Notebook 2 1

  5. Red-Wine-Quality Red-Wine-Quality Public

    A visualization of the dataset winequality-red.csv and exploratory data analysis[ EDA ] in R language

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  6. Computer-Vision Computer-Vision Public

    All academic quizzes, assignments and projects are here

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