๐ **MS in Quants | SWE and Quant
I explore the intersection of mathematics, statistics, and computing. My background blends rigorous mathematical training with hands-on projects in data science, numerical methods, and applied AI. I enjoy building tools, models, and experiments that translate theory into practical insights.
- Researching numerical analysis and optimization methods for real-world systems
- Exploring time series forecasting, stochastic models, and dynamical systems
- Creating interactive notebooks and visualizations for teaching & learning applied math
- Experimenting with AI for Math/Science applications
Math & Data: Linear Algebra, Probability, Statistics, Time Series, Optimization
SWE/Web Dev: React, JavaScript / TypeScript, Node, Express
Languages: Python (NumPy, Pandas, Scikit-learn, Statsmodels), R
Tools: Jupyter, LaTeX, Git, Charting/Visualization libraries



