[Webinar]: Using Machine Learning in Whole Loan Data Prep
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Tackle one of your biggest obstacles: Curating and normalizing multiple, disparate data sets.
-How to leverage machine learning to help streamline whole loan data prep
-Innovative ways to manage the differences in large data sets
-How to automate ‘the boring stuff’
About The Host
Director - RiskSpan
LC Yarnelle is a Financial Analystand Managerwith experience in financial modeling, business operations, requirementsgathering and process design.At RiskSpan, LC has worked onmodel validation andbusiness process improvement/documentationprojects.He alsoled the development of one of RiskSpan’s software offerings, and has led multiple development projects for clients, utilizing both Waterfall and Agile frameworks. Prior to RiskSpan, LC was as an analyst at NVR Mortgage in the secondary marketing group in Reston, VA, where he was responsible for daily pricing, as well as on-going process improvement activities. Before a career move into finance, LC was the director of operations and a minority owner of a small business in Fort Wayne, IN. He holds a BA from Wittenberg University, as well as an MBA from Ohio State University.
Data Analyst - RiskSpan
Matthew Steelethrivesatcreating solutionsby analyzing data, identifying hidden insights, and implementing the right strategies to move forward.Matthew has experience withdata analytics,project management,ETL,consulting,and strategy. Afastlearner, he is constantly adding to his repertoire of skills and advancing his knowledge of statistical methods.Matthew holds a BS in Psychology from Mount St. Mary’s University.