Mitch Weiler
About Mitch Weiler
Mitch Weiler is the Sr. Manager of Data Science at TD Ameritrade, with extensive experience in data science and analytics across various companies.
Current Role at TD Ameritrade
Mitch Weiler is currently serving as the Sr. Manager, Data Science at TD Ameritrade. In this role since 2017, he specializes in data science initiatives that leverage his expertise in Gradient Boosting and Random Forest techniques. His responsibilities likely include developing and implementing data-driven solutions to enhance business decisions and customer experiences through predictive analytics and advanced statistical modeling.
Previous Experience at Blue Cross and Blue Shield of Nebraska
Before his tenure at TD Ameritrade, Mitch Weiler worked at Blue Cross and Blue Shield of Nebraska as a Data Research Engineer from 2015 to 2017. During this period, he focused on data research to support the healthcare company's operational and strategic goals. His work would have revolved around utilizing his deep understanding of predictive analytics and statistical methodologies to drive data-informed decision-making processes.
Role at GAVS as a Senior Associate Data Scientist
Mitch Weiler served as a Senior Associate Data Scientist at GAVS in the Greater Omaha Area from 2014 to 2015. In this capacity, he was involved in data science projects that required a strong foundation in statistical modeling and quantitative analysis techniques. His projects likely involved mining, analyzing, and modeling large datasets to derive valuable business insights.
Academic Background in Economics
Mitch Weiler has a solid academic background in economics. He earned a Master of Arts (M.A.) in Economics from the University of Missouri-Columbia, graduating in 2006. Previously, he obtained a Bachelor of Science (B.S.) in Economics from the University of Nebraska-Lincoln in 2004. His academic training laid the foundation for his expertise in predictive analytics, statistical modeling, and economic research.
Technical Expertise in Data Science
Mitch Weiler has extensive expertise in various data science techniques and methodologies. He specializes in Gradient Boosting and Random Forest techniques, essential for predictive analytics and customer acquisition strategies. Additionally, he possesses strong skills in Test & Learn methodologies and statistical modeling, enabling him to develop and optimize data-driven solutions for business challenges.