David Knorr, Senior Data Scientist
Professional Overview
David Knorr is an accomplished Senior Data Scientist with extensive experience driving data-driven solutions that deliver measurable business impact. He specializes in leveraging advanced analytics, machine learning, and data engineering to uncover valuable insights and optimize operations within the retail industry.
Experience Summary
Current Role
As Senior Data Scientist at The Home Depot, David is responsible for developing and implementing cutting-edge predictive models, automating data pipelines, and delivering impactful analytical insights to support strategic decision-making. He collaborates cross-functionally with business stakeholders to define and prioritize high-value use cases, and his work has resulted in significant cost savings, improved customer experiences, and enhanced operational efficiencies.
Career Progression
Prior to his current role, David served as a Data Scientist at The Home Depot, where he demonstrated his ability to translate complex data into actionable intelligence. Before joining The Home Depot, he held the role of Staff Scientist at NewFields, where he applied his expertise in environmental analysis and data modeling to provide critical insights that informed strategic planning and policy decisions.
David's early career experience includes an Environmental Analyst Internship at NewFields, a Lead Instructor position at Vanderbilt University, and a Data Analytics Graduate Student Worker role in the Dean's Office of Arts and Science at Vanderbilt University. He also gained valuable experience as a Training Operations Intern at Southface and as a Student Researcher at Wesleyan University.
Academic Background
David holds a Master's degree in Data Science from Vanderbilt University, where he specialized in advanced analytics and machine learning. His academic achievements include serving as a Lead Instructor and a Data Analytics Graduate Student Worker, both of which allowed him to hone his teaching and communication skills.
Areas of Expertise
- Predictive modeling and machine learning
- Data engineering and pipeline automation
- Retail analytics and optimization
- Cross-functional collaboration and stakeholder management
- Effective data storytelling and presentation
Professional Impact
Throughout his career, David has demonstrated his ability to drive tangible business impact through his data-driven solutions. At The Home Depot, he has developed innovative predictive models that have led to significant cost savings, improved customer experiences, and enhanced operational efficiencies. His work has been recognized for its strategic value and positive influence on the organization.
Conclusion
With a diverse background in data science, a passion for problem-solving, and a track record of delivering impactful results, David Knorr is well-positioned to continue advancing his career as a Senior Data Scientist. He is committed to leveraging his expertise to help organizations navigate the data-driven landscape and unlock new opportunities for growth and innovation.
