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rajeevzar/README.md

Rajeev Manick

πŸ‘‹ Hi, I'm Rajeev Manick, a Data Scientist with a PhD in Astrophysics and over 8 years of experience in developing innovative machine learning solutions, particularly in time series analysis, deep learning, and signal processing.

πŸ”­ My research has focused on the detection and characterization of nascent planets, with published works on planet detection techniques using advanced time series analysis, Deep Learning and statistical models.

πŸ‘¨β€πŸ’» I'm proficient in Python, Scikit-learn, Keras, TensorFlow, and have significant experience in data wrangling, signal processing, dynamic time warping (DTW), Gaussian Process modelling, and Bayesian optimization.

πŸš€ I enjoy tackling complex data problems, translating research into deployable solutions, and working with cross-functional teams to drive AI innovation.


πŸ›  Skills

  • Programming Languages: Python, R
  • Machine Learning Frameworks: TensorFlow, Keras, Scikit-learn
  • Data Manipulation & Analysis: Pandas, NumPy, SQL/MySQL, Excel
  • Time Series Analysis: Dynamic Time Warping (DTW), Fourier Analysis, Gaussian Processes, Bayesian Optimization
  • Deep Learning: CNNs, RNNs, LSTMs, Time Series and Image Classification, Forecasting
  • Development Tools: Git, GitHub

πŸ“ˆ Recent Projects

  1. Deep Learning for Chest X-ray Image Classification

    • A deep learning project using convolutional neural networks (CNN) for classifying chest X-ray images.
    • View Project
  2. Planet Detection using Time Series Analysis

    • A time series analysis project focusing on the detection of nascent planets using advanced machine learning techniques.
    • View Project
  3. Time Series Forecasting using LSTM

    • Developed an LSTM-based model for time series forecasting, applicable in astrophysics and industrial predictive maintenance.
    • View Project

πŸ“š Publications & Research

  • Detecting Planets Around Young Stars Using Time Series Analysis
    Link to paper

  • Advanced Signal Processing in Astrophysics
    Link to paper


πŸ“« Get in Touch

Feel free to reach out if you'd like to collaborate on AI projects or discuss any exciting opportunities in data science and machine learning.

Popular repositories Loading

  1. rajeevzar rajeevzar Public

    Config files for my GitHub profile.

  2. rajeev rajeev Public

    HTML

  3. chest-xray_classification chest-xray_classification Public

    In this project, I developed a deep learning model to for binary classification of chest X-rays (pneumonia or normal), using the widely-used Chest X-ray dataset from Kaggle. The model is built on M…

    Jupyter Notebook