Mike Sonderegger

About Mike Sonderegger

I’m a data scientist and AI leader with a background in statistics and business, experienced in analytics engineering, machine learning, AI/LLM systems, data engineering, BI, and strategy. I currently manage a team ML engineers and serve as a frequent resource for AI, machine learning, and analytics questions across the data department. My work focuses on building AI and ML systems and data tools that deliver measurable business impact, from optimizing processes and forecasting outcomes to improving operational efficiency. I enjoy turning complex data into actionable insights and helping teams succeed. Let’s connect!

Experience

1. Manager, Ai Ml Engineering

   Aptive Environmental

   Oct 2025 — Present · Provo, UT, US

   Manage a team of AI engineers and provide guidance on analytics and machine learning across the BI and Data Engineering teams.Developed a causal forest model to optimize pricing decisions and improve price-increase targeting.Built a sales intelligence tool that provides area insights and LLM-powered context during inbound calls, helping inside sales reps sound more like local experts.Created a Streamlit app for strategy and operations teams to easily adjust service area boundaries, replacing static, zip-code-based maps with an interactive, flexible interface.Built a neighborhoodization framework using census data, address density, retention scores, and convex hull clustering to identify high-density areas, enabling accurate seasonal sales rep allocation and helping team leaders prioritize the most promising neighborhoods for daily knock assignments.

Education

• Brigham Young University

  BS, Statistics

  2016 — 2020