Data Science × Finance
Interactive applications for retirement planning, portfolio optimization, and macroeconomic analysis — built with Python and designed for financial professionals.
Explore the ToolsEach tool is interactive, data-driven, and built to surface insights that matter to financial planners and wealth managers.
Input age, savings rate, target retirement age, and spending needs. Run thousands of simulated outcomes to visualize probability of success across market conditions.
Launch App →Mean-variance optimization with an interactive efficient frontier. Maximize Sharpe ratio, visualize risk/return trade-offs, and extend analysis with CVaR for tail-risk awareness.
Launch App →Live economic indicators pulled from the FRED API — yield curve, unemployment, CPI, M2 money supply — with recession probability signals built in.
Launch App →Garrison Financial Group is a collection of financial planning tools built by a data scientist with a background in quantitative finance. These tools are designed to bridge the gap between rigorous data science and practical financial planning workflows.
Built with Python, Streamlit, and open financial data — all source code is available on GitHub.