I focus on clean code, scalable solutions, and continuous learning with hands-on experience in analyzing, interpreting, and visualizing data. Feel free to reach out via email or connect with me on LinkedIn!
🎓 Education: Management Information Systems (B.B.A), University of Georgia
💡 Interests: Data Analytics, AI, Predictive Modeling
🌱 Currently Exploring: Web Development, Streamlit, AI, HTML
💻 Programming Languages: Python, Java, SQL, R
🛠️ Tools: Git, Jupyter Notebook, Power BI
- Python-based predictive model designed to assess credit fund risk
- Developed with Pandas, NumPy, and Jupyter Notebook for data analysis and modeling
- Conducted exploratory data analysis on 10,000+ financial records, resulting in a 15% improvement in model accuracy
- Includes an interactive Streamlit dashboard for visualizing risk scores, trends, and model outputs
📁 Interactive Trading Simulator
- Python‑based trading simulator designed to help beginners learn stock‑market mechanics through historical data
- Built with Streamlit for an interactive, multi‑page web app experience
- Features include loading default or custom CSV stock datasets, day‑by‑day market navigation, executing market & limit orders, and real‑time portfolio tracking (cash, positions, profit/loss, total value)
- Provides interactive charts (with buy/sell markers), full trade history, and educational resources to help understand trading basics, order types, and risk management