Tyler Rosch

Collaborated on concussion detection research using balance plate and cognitive testing, producing three published studies and a model presented at 2026 conferences. Cleaned and transformed clinical data, applied PCA to 55 variables, and built/validated Python AI models achieving AUC 0.94 with 86% sensitivity and 91% specificity.

Led development of a predictive trading dataset covering 5,500 stock tickers (options chains, technical indicators, fundamentals) to support large-scale modeling. Designed ingestion with API load balancing, built deep learning and random forest models for options strategies, and validated signals via backtesting/forward-testing to optimize risk-adjusted returns.

Operated a Disney-themed short-term rental, achieving top-1% performance on Airbnb with 89% occupancy and 100,000+ yearly views on a property. Maintained consistently high guest satisfaction with perfect ratings across check-in, reliability, cleanliness, and location.

Deployed AI to predict power outage percentage and duration by county during hurricanes to support food distribution planning. Used geospatial hurricane clustering, built a random forest model for food-insecurity targeting, and set up an AWS-based workflow with web scraping to compile and query data.

Built and supported a new internal department by onboarding software integrations into Salesforce and improving KPI reporting. Conducted financial analysis of free cash flow, balance sheets, and profit/loss statements, and contributed to planning for high-net-worth clients with 10+ rental properties and $1M+ net assets.

Designed and taught three 1-hour classes per week to 30–100 students on stock investing topics including asset allocation, fundamental analysis, technical analysis, and selling options. Created 2-day, 8-hour online investment bootcamps with live instruction and macroeconomic analysis coverage.

Used macros and data reconciliation to complete mutual fund accounting conversions, transferring reconciled balance sheet data into the STAR accounting system. Analyzed general ledger, balance sheets, and tax lot reports across diversified funds to ensure material discrepancies did not occur.

Advised families on achieving financial goals through estate, retirement, risk management, investment, and tax planning. Delivered client-focused planning strategies covering long-term wealth management needs.

Managed bar budgets and operational costs while supervising 60+ employees. Increased bar profit by 12% and grew revenue from $700K to $1.5M during tenure.

Master of Science in Information Systems and Operations Management with a concentration in Business Analytics. Accredited by STEM and AACSB International; GPA 3.6.

Master of Business Administration from Purdue University’s Mitchell E. Daniels School of Business. AACSB International accredited; GPA 3.87.

Bachelor of Science in Business Administration with a concentration in Finance from Shippensburg University. AACSB International accredited; major GPA 3.20.