SHOW YOUR
WORK.MW
CHICAGO / IL

Advanced Analytics & AI
Consulting Intern

• Built Python FP-Growth association-rule mining across 22,000+ work orders, 129,000+ service-line records, and 1,630 unique parts, paired with LLM classification into 14 fault categories.
• Turned an unstable Excel process into governed Power BI reporting, with a business requirements document, 30+ KPI definitions, and SQL / Azure Data Factory medallion pipelines.
• Created a 60-action Power Automate workflow using five connectors to validate row counts across 178 tables in a 4,393-entity scope. The firm productized it as a reusable client solution.

Information Technology Intern

Software Engineering Specialization

• Implemented NLP risk detection across 16 sources using keyword matching, sentiment analysis, and weighted confidence scoring.
• Built Monte Carlo loss simulations with binomial, Poisson, and gamma models to calculate 95% Value at Risk.
• Developed a React / FastAPI dashboard with five-minute refreshes, loss histograms, scenario management, and secure data pipelines.

Finding the story
in the records.

• Built SQL workflows with CTEs, joins, CRUD operations, and OLAP-style aggregations across business and sports datasets.
• Calculated a 6.76% first-day purchase rate and analyzed 1,900+ user sessions.
• Used Python notebooks for cleaning, feature engineering, and exploratory analysis across college football, Capital Bikeshare, and Olympic performance datasets.