• MS Business Analytics — UT Austin
• Focused on data engineering, optimization systems, and machine learning applications
• I build analytic 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
Built a full O2C ERP system from scratch — relational database design, ETL pipeline into a star schema analytics layer, SQL analytics, and a 5-page Streamlit dashboard covering sales, operations, invoicing, and inventory
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


