Portfolio TLH Optimizer
Improves after-tax returns with automated tax-aware rebalancing.
Tax-loss harvesting engine with scenario analysis and interactive KPI reporting via Streamlit.
Analytics · Strategy · Decision Systems
Joshua
Ringler
Building analytical systems that turn complex data into clear business decisions. MS Business Analytics at UT Austin McCombs — I design optimization engines, data pipelines, and decision tools for high-stakes problems.
- Wayfair Data Analyst Intern
- Bell Flight Business Analyst
- 1st Place Purdue Research Expo
- Built Production Streamlit Systems
Most recent repositories.
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Financial Analytics Toolkit
Compares rebalancing strategies to quantify risk/return tradeoffs.
Portfolio return calculator with factor decomposition and interactive Plotly dashboards.
ML & NLP Research
Evaluates factor strategies with clean pipelines and reproducible results.
Earnings call NLP, sentiment analysis, and applied ML spanning classification to deep learning.
Email Network Scraper
Reveals hidden organizational structure from communication metadata.
Selenium scraper with community detection on bipartite email communication graphs.
Connect 4 AI — CNN & Transformer
Trains self-play agents to improve win rate through deep learning.
CNN and Transformer models for Connect 4 with MCTS data generation, AWS deployment, and a live Anvil web app.
Mini ERP — Order-to-Cash System
End-to-end ERP from database design to live analytics dashboard.
Full-stack system: OLTP schema, star-schema OLAP layer, and 5 Streamlit reporting modules including KPIs, inventory, and email network intelligence.
Where I've worked.
Vise
Graduate Capstone Business Consultant
- Python
- Streamlit
- Optimization
- GitHub
Key Achievement
Built TLH optimization engine with scenario analysis and constraint handling
- Developed client-facing Streamlit dashboards deployed in production
- Designed decision logic for automated portfolio rebalancing
Wayfair
Commercial Strategy Summer Data Analyst
- SQL
- Looker
- Data Pipelines
- Visualization
Key Achievement
Informed category strategy and pricing decisions through commercial analytics
- Built SQL and Looker-based data pipelines for merchandising leadership
- Surfaced actionable insights at scale across product categories
Bell Flight
Summer Business Analyst
- Power BI
- Visio
- Data Modeling
- KPI Design
Key Achievement
Strategic analysis and operational decision-making for advanced aviation programs
- Data modeling with Power BI and Visio for cross-functional reporting
- Developed KPI frameworks tracking program-level performance
Purdue University · Daniels School
Undergraduate NLP Research
- NLP
- Python
- Text Classification
Key Achievement
Awarded 1st place at Purdue's undergraduate research exposition
- Applied NLP to unstructured text classification and pattern extraction
- Built reproducible analysis pipelines for large text corpora
What I work with.
Languages
- Python
- SQL
- R
Analytics & ML
- Machine Learning
- Optimization
- Statistical Modeling
- NLP
- Data Visualization
Infrastructure & Tools
- Streamlit
- Snowflake
- GitHub
- Jupyter
- Tableau
Education.
MS Business Analytics
UT Austin · McCombs — Financial Analytics Track ·
BS Business Analytics & Info Management
Purdue University · Daniels —
Let's talk.
Open to analytics, consulting, product, and strategy roles.