Fellow at the Academy focused on machine learning methods such as linear/logistic regression, tree-based models like random forests and boosting models, and neural networks. Completed data science projects included:• Lending Club Analysis: Predicted which peer-to-peer loans would default and which would pay off in full• COVID Analysis: Performed time series analysis to predict the trajectory of the disease based on positivity rates• Data Science Positions on Indeed.com: Used NLP on 2,500 postings to find the most requested attributes • Modeling Ames, IA Real Estate Prices: Leveraged six different machine learning algorithms to predict sale prices

• Managed and cultivated the 7-person Data Governance team of subject matter experts. • Responsible for definition, implementation and enforcement of data governance standards for Ratings Operations, Commercial, Research, and Analytic data sets.• Developed and implemented firm-wide Data Governance Principles and Standards.• Developed conceptual, logical, and physical data models for Structured Finance area using ER/Studio.• Designed and conducted a Python course catered for internal staff.

• Oversaw the development of Information Technology projects for the Credit Policy department. • Developed Microsoft Access tracking tools; many of which were upsized to C# web applications. • Created an Access-based learning management system (LMS) to monitor training for all analysts. • Subject matter expert for software tools like SharePoint, SQL, Excel, Access, and C#.• Verified financial models (C#, SQL, and Excel/VBA) used throughout different lines of business.• Represented the department on committees dealing with Business Continuity, Information Security, and Data Governance. • Spearheaded a SharePoint implementation (Analyst Handbook) that provided access to a document library.

• Developed Moody’s Financial Metrics – a platform used worldwide by the Corporate Finance Group to analyze the creditworthiness of non-financial corporations.• Worked closely with the Corporate Finance credit ratings analysts to develop a user-friendly Projection Model in Excel to forecast financials.• Collaboratively developed Loss Given Default (LGD) Model in Excel to rate corporate bonds and loans.

• SQL Developer who produced reports on AMEX card usage from vendor information.• Programmed ad hoc and recurrent reports using T-SQL against Sybase and SQL Server databases.