Diego L. Email and Phone Number

Developed highly customized SAS software implementations for clients to make them IFRS9/CECL compliant.• Led teams of 2-4 consultants to design and implement process streamlines, data pipelines and ML model implementations in projects with banks like BMO, NC SECU and Frost Bank, among others.• Designed and customized data reporting, including visual analytics such as waterfall reports and dashboards, as well as spreadsheet-type reports such as financial statements with SAS Visual Analytics.

Led the Analysis of the client’s data sets consisting of millions of records using regression and other supervised and unsupervised machine learning techniques. This was done using different R libraries like data.table, which allows to work with big data bases. Presented results in a storytelling format for management staff.• Built logistic and linear regression models utilized to define the scope of future selling campaigns for the client.• Automated the SQL ETL routines needed for the monthly reporting processes, reducing work times by 70%.• Created a segmentation for corporate customers using k-means and hierarchical clustering, enabling the client to devise specialized strategies for each segment.

Took ownership of the SAS Credit Scoring for Banking implementation, including the design of the ETL processes, the reporting and the data visualization.• Redesigned and rebuilt the existing ETL process, fixing bugs and reducing execution times by 40%.• Developed the reporting and dashboards used with the Credit Scoring for Banking solution on SAS VA.

Performed different ad-hoc data analysis used for decision making by the indemnifications Vice President and directors. Prepared and presented results to non-technical executives, including the CEO of the company. • Designed a PCA based analysis in R to find negotiation opportunities with health service providers, leading to annual savings of about 20%. • Started the transition of the claim reserve methodology from average-driven to model-driven.• Demonstrated that hiring in-house legal counsel for bonds claims instead of outsourcing would reduce the associated costs by 20%.• Identified service providers who were committing fraud through a PCA and clustering analysis in R. These results were used by the company to urge others in the industry to start a formal investigation.

Customer Service Representative for Assurance Wireless.

Customer Service Representative for Tracfone Wireless/NET10 Wireless/Safelink Wireless/Straight Talk Wireless.