Conner Toryfter
connertoryfter.com • 262-***-**** • ******.********@*****.*** • Milwaukee, WI
Summary:
●Early career data scientist with strengths in Python, R, and SQL for modeling, machine learning, and data analysis, with applied experience in PyTorch, Power BI, Power Apps, and SQL Server. Known for strong quantitative work with clear business outcomes and a strong foundation in applied mathematics, optimization, and statistical reasoning. EXPERIENCE
A.O. Smith MILWAUKEE, WI
ARTIFICIAL INTELLIGENCE - LEGAL JUNE 2026 – PRESENT
●Partnered directly with the legal team to review existing workflows, conducting process analyses to identify where manual, repetitive work could be replaced with AI-enabled solutions. Mapped current contract, documentation, and compliance-adjacent processes to surface inefficiencies and prioritize the highest-impact automation opportunities.
●Researched and evaluated prospective AI tools for legal and business operations, weighing capability, cost, and data privacy considerations before recommending adoption or building in-house alternatives. Designed and delivered custom internal AI tools where off-the-shelf options fell short, ensuring every solution aligned with company data governance standards.
● Optimized and automated processes that previously relied entirely on manual labor, significantly reducing turnaround time and freeing the team for higher-value work. Presented findings and recommendations to stakeholders in clear, non-technical terms, then iterated on deployed tools based on real-world feedback from daily users. KRIETE TRUCK CENTER MILWAUKEE, WI
AI & DATA SCIENCE ANALYST JUNE 2025 – May 2026
●Built an AI-powered lead scoring model for parts and service operations that automated conversion checking, reducing monthly manual review labor by 80% and freeing the sales team to focus on high-probability leads.
●Designed and deployed a custom truck check-in/check-out inspection application using Power Apps and Dataverse, replacing the company's third-party Record360 subscription and eliminating the recurring software cost across all locations.
COURSEWORK
A* ALGORITHM PATH SMOOTHING
LINEAR OPTIMIZATION MODEL
●Implemented an advanced path smoothing algorithm combining A* pathfinding with quadratic optimization (QCQP), reducing sharp turns by 65% while maintaining optimal routes in-game navigation systems
●Developed a mathematical model using second-order Taylor expansions and smoothness constraints to transform rigid grid-based paths into natural trajectories, improving visual movement quality in 2D environments
● Engineered an adaptive smoothing parameter (λ) system that automatically adjusts path adherence based on obstacle density, achieving 88% user-reported improvement in character movement aesthetics while preserving tactical gameplay
QUANTITATIVE ANALYSIS OF S&P 500 MARKET DYNAMICS
STATISTICAL ANALYSIS & MARKET SECTOR PERFORMANCE MODEL
●Conducted statistical analysis of S&P 500 companies, examining relationships between market capitalization and stock prices across different sectors using R, revealing a moderate positive correlation coefficient of 0.36.
●Developed predictive models using linear regression to forecast stock prices based on market capitalization, implementing data visualization techniques with ggplot2 to identify patterns and market trends EDUCATION
The University of Wisconsin-Madison - Bachelor of Science, College of Letters & Science: Data Science and Mathematics SKILLS & LANGUAGES
●Skills: Data Analysis, Statistical Analysis, Mathematics, Microsoft Excel, Data Visualization, Microsoft Power Automate, Machine Learning, Artificial Intelligence, SQL, SQL Server Management, Microsoft Power BI
●Languages: Python, R, SQL, Julia, PyTorch
ACTIVITIES & INTERESTS
●Activities: Acacia Fraternity, Data Science Club, Actuarial Science Club, Club Basketball Captain, Club Golf Team
●Interests: Baseball Sabermetrics, Film, Data Visualization & Analytics, Machine Learning & AI Ethics, Quantitative Trading, Digital Arbitrage, Artificial Intelligence