π Data Science & Optimization Enthusiast
- π Passionate about data-driven problem solving, especially in optimization, ML, and AI applications.
- βοΈ Experienced with Python, NumPy, Pandas, Matplotlib, R Language, and applied mathematical modeling.
- π¬ Love discussing machine learning, algorithms, and Statistics.
- π± Currently exploring operations research models, LLMs, and AI engineering practices.
- π§© I value clarity, simplicity, and well-crafted systemsβboth in code and thought.
| Project | Description | Repo |
|---|---|---|
| Transportation Model | Implementation of Northwest Corner, Least Cost & Vogelβs Approximation methods for transportation optimization. | π View Repo |
| Exploratory Data Analysis on Medical Dataset | Used R to clean and transform a medical dataset, explore key variables and create visual summaries. Focused on structured data quality and interpretation. | π View Repo |
