I'm passionate about solving complex financial problems with data-driven tools and intelligent systems. My work bridges the gap between finance and technology — from automating accounts payable processes with Power Automate Desktop to simulating market risk in Python using Monte Carlo methods.

I enjoy building things that make workflows smarter, decisions clearer, and insights faster.

• Crypto Portfolio Optimization Tool
  Streamlit app using Modern Portfolio Theory and real-time crypto data (CoinGecko/YFinance), integrated with SQLite for persistent storage. Includes optimization modes (Max Sharpe, Min Volatility), historical returns visualization, and fallback logic for data retrieval.

• Automated Invoice Classifier (PAD)
  Power Automate Desktop workflow that classifies, routes, and organizes email attachments into invoice/statement directories. Uses keyword logic to distinguish multi-type documents and avoid duplicates.

• Crude Oil Risk Simulator (Monte Carlo)
  10,000-path Monte Carlo simulation of crude oil stock prices (e.g., XOM), modeling VaR/CVaR with historical overlays, dark mode UI, and CSV output formatting. Built with Python, Plotly, and Streamlit; data pulled via YFinance and stored in SQLite.

• Languages: Python, C#, R, SQL, VBA
• Libraries: Pandas, NumPy, Plotly, Matplotlib, Seaborn, Statsmodels
• Platforms: Streamlit, Power Automate Desktop, GitHub, SQLite, Visual Studio
• APIs: YFinance, SEC EDGAR, CoinGecko
• Other: Jupyter, Conda, Excel, Workday

• Research Assistant – GPU-powered ML models for financial analysis (e.g., MSGARCH) under Dr. Zhang
• Treasurer – Arkansas AI Foundry
• Involvement – Women in Finance, Future Women Business Leaders

• LinkedIn
• Kaylieoneal@yahoo.com