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RawatXd/Readme.md

Hi, I'm Abhishek Rawat 👋

MSC Operational Research Graduate | Machine Learning & Data Science| Delhi

Passionate about turning data into actionable insights using Statistics, Machine Learning, and Operational Research. My interests span ML pipelines, Integer Programming, and building end-to-end data solutions that bridge scientific rigor with business value.

🛠️ Skills

  • Languages: Python, SQL
  • Data Analysis: Pandas, NumPy, Matplotlib, Seaborn
  • Machine Learning: Scikit-learn, XGBoost, Clustering, Classification
  • Tools: PowerBI, MS Office, Jupyter, Git
  • Background: Operational Research → Data Science

🚀 Featured Projects

📬 Connect

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  1. AeroOptima AeroOptima Public

    AI-Powered Flight Delay Prediction & Gate Optimization System

    Python

  2. Space-X-Falcon9-Prediction Space-X-Falcon9-Prediction Public

    Predicts Falcon 9 landing success and estimated launch cost using real mission data and machine learning

    Jupyter Notebook

  3. Credit-Risk-Analysis Credit-Risk-Analysis Public

    ML-powered loan default predictor · 50K records · Logistic Regression + XGBoost benchmarked · Real-time Streamlit app · Credit score output (300–900)

    Jupyter Notebook

  4. Financial-Derivatives-Pricing-And-Risk-Analysis Financial-Derivatives-Pricing-And-Risk-Analysis Public

    Quantitative analysis of option pricing, volatility modeling, and portfolio risk using the Black-Scholes model and Monte Carlo simulation

    HTML

  5. Machine-Learning-Projects Machine-Learning-Projects Public

    A portfolio of machine learning projects that use classification, clustering, and regression to analyze data, build predictive models, and extract valuable insights for real-world applications.

    Jupyter Notebook

  6. Food-Delivery-Cost-And-Profitability-Analysis Food-Delivery-Cost-And-Profitability-Analysis Public

    Analyzes food delivery order data to uncover cost drivers, evaluate discount and commission strategies, and model ways to improve unit profitability.

    HTML