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.
- 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
- AeroOptima β Flight Delay & Gate Optimization β XGBoost (0.71 ROC-AUC) + Integer Programming (PuLP/CBC); ML-OR integration with Streamlit dashboard
- DecisionX-Fifa World Cup Optimizer β Monte Carlo Simulation + Integer Programming; FIFA tournament forecasting
- Space-X Falcon9 Landing Prediction β Logistic Regression, SVM (~0.83 accuracy), Decision Tree & KNN
- Financial Derivatives Pricing & Risk Analysis β Black-Scholes model + Monte Carlo simulation
- Credit Risk Analysis β Logistic Regression + Random Forest + RandomizedSearchCV
- LinkedIn: abhishek-rawat-5s5
- Email: abhishekrawat.du.or.26@gmail.com