Lead Decision Scientist — Analytics, Artificial Intelligence & Decision Science
Summary
Lead Decision Scientist with over a decade of experience transforming complex data into business outcomes across analytics, artificial intelligence, and decision science. Proven track record in automating data pipelines, deploying statistical and AI models, and presenting insights to executive leadership. Skilled in integrating large language models (LLMs) and advanced analytics to drive operational efficiency, customer experience, and strategic decision-making at scale.
Experience
Best Buy — Lead Decision Scientist (AI Lead)
December 2018 – Present · Richfield, MN
Own and lead complex, ambiguous analytics initiatives that directly inform enterprise-level strategy, investment decisions, and operating model design.
Serve as a trusted thought partner to senior and executive leaders, proactively shaping problem framing, analytical approach, and decision tradeoffs.
Drive analytics that influence core enterprise priorities including labor strategy, operating model effectiveness, and financial performance optimization.
Design and execute advanced analytical frameworks to evaluate the impact of strategic initiatives, including scenario modeling and causal analysis.
Synthesize data across multiple domains - sales, labor, supply chain, customer experience, fulfillment, and merchandising - to uncover enterprise-wide relationships and insights.
Translate complex analytical findings into clear, compelling narratives tailored to executive and non-technical audiences.
Act as department AI Lead, serving as liaison between the analytics team and the enterprise AI organization - translating standards into practical applications and enabling responsible AI experimentation using Vertex AI, BigQuery AI functions, Gemini, Claude, and GPT.
Advance analytical efficiency and speed-to-insight through targeted knowledge sharing, mentoring, and reusable AI assets, while ensuring adoption aligns with enterprise risk, ethics, and compliance expectations.
Accelerate team productivity through hands-on use of AI-assisted development tools including GitHub Copilot and Copilot 365.
Accenture — Functional Data Integration Associate Manager
June 2011 – December 2018 · Minneapolis, MN
Extracted and analyzed data for high-profile legal litigation cases with visibility to corporate senior counsel and managing directors.
Created entity relationship diagrams, data models, and integration design documents for large-scale data migrations.
Migrated healthcare inventory data into Oracle enterprise databases.
Key Projects
Used Gemini LLM to extract themes from unstructured order notes and reduce fulfillment friction through targeted IT improvements.
Forecasted vendor purchase order lead times for large products using Python Prophet.
Designed operational metrics to drive high customer experience scores using multiple regression on survey data across customer channels.
Mapped supply chain breakdowns using R bupar to design KPIs and identify high-risk failure points.
Built a Power BI scorecard for In-Home leaders to track product repair junk-out rates.
Created parallel trends and difference-in-differences models to assess the impact of reducing specific types of store labor on operational performance, including shrink and customer satisfaction.
Conducted a two-sample t-test to assess scaling a proactive customer advocate support team focused on reducing cancellations.
Automated data updates in Looker Studio using Google Cloud Workflows and Scheduler for near real-time reporting.
Built a Python script to automate price match validation, reducing manual effort and increasing accuracy.
Traced extended warranty exchanges to new product acquisitions for clean customer handoffs and accurate internal accounting.
Identified key order features that impact the likelihood of costly redos or exchanges.
Education & Certifications
Minnesota State University, Mankato
B.S. in Information Systems and Business Administration