Christopher Snead

Designed and developed end-to-end automation solutions using low-code/no-code platforms, owning the product lifecycle from ideation to deployment and improving process efficiency. Managed ongoing optimization and performance tracking of automations, collaborating with IT to ensure seamless integration and system stability.

Successfully led a cross-functional team in developing cutting-edge AI tools utilizing machine learning techniques. Executed precise queries for accurate data reporting, efficiently managing a vast database and internal applications, and implementing over 30,000 compatibility rules.

Assessed, evaluated, and analyzed quantitative and qualitative data sources to independently forecast and establish adjusted property values. Conducted thorough market research to compare client properties to recent sales, ensuring accurate valuation.

Spearheaded the development of automation solutions that drove $800,000 in annual savings, optimizing workflows and enhancing data quality across teams. Led automation initiatives for daily and weekly reporting across 100+ projects, saving 50,000 man-hours and impacting over 124,000 employees.

Completed an intensive boot camp focused on data analytics. Gained practical skills in data manipulation, statistical analysis, and visualization techniques.

Earned a Bachelor of Science degree with a focus on management principles. Also completed a minor in economics, providing a strong foundation in business and economic theory.