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RawatXd/Readme.md

Hi, I'm Abhishek Rawat πŸ‘‹

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.


πŸ›  Skills

  • Programming Languages: Python, SQL
  • Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Plotly
  • Machine Learning: Scikit-Learn, XGBoost, Classification, Feature Engineering, Model Evaluation
  • Operations Research: Linear Programming, Integer Programming, Monte Carlo Simulation, Optimization Modeling, Decision Analysis
  • Tools & Platforms: Power BI, Streamlit, Jupyter Notebook, VS Code, Git, GitHub
  • Databases: PostgreSQL, MySQL
  • Domain Expertise: Operational Research, Data Science, Predictive Analytics, Decision Support Systems

πŸš€ Featured Projects


πŸ“¬ Connect

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  1. AeroOptima AeroOptima Public

    AI-Powered Flight Delay Prediction & Gate Optimization System

    Python

  2. DecisonX-fifa_world_cup DecisonX-fifa_world_cup Public

    DecisionX is an AI-powered FIFA World Cup optimization platform that predict match outcomes, estimate tournament-winning probabilities, and optimize squad selection strategies through data-driven d…

    Python

  3. 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

  4. Credit-Risk-Analysis Credit-Risk-Analysis Public

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

    Jupyter Notebook

  5. 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

  6. 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