• MS Business Analytics — UT Austin
• Focused on financial engineering, optimization systems, and machine learning applications
• I build portfolio analytics tools, ML models, and production-style data apps
Interactive portfolio optimization engine with tax-loss harvesting, rebalancing logic, and financial analytics built in Python + Streamlit
Collection of portfolio return engines, financial simulations, and analytics tooling for investment analysis
Python Selenium-based scraper that extracts communication metadata and builds graph-ready datasets for network analysis
Languages: Python, SQL Data & Analytics: Pandas, NumPy, Optimization, Statistical Modeling Apps & Tools: Streamlit, GitHub, Google Colab, Snowflake Methods: Portfolio Optimization, Machine Learning, Data Engineering
LinkedIn: https://linkedin.com/in/joshuaringler

