• Scenario Development and Enhancement Sr Manager.• Aligned teams on the development of a new statistical model for Anti Money Laundry (AML) for Mexico.Tools used: R Statistics, Python, SQL, SAS and Excel.

• Aligned a team on the development of a new statistical model for Anti Money Laundry (AML) for Mexico.• Redesigned an existing model, increasing efficiency and customers coverage. Tools used: R Statistics, SAS, SQL, Python and Excel.

• Pioneered of HR Data Analyst department for TCS LATAM (6 countries).• Succeeded on identifying by factors analysis methods employees groups at risk of attrition and the main reasons for voluntary separations. As a result, company implemented a program for key employees retention.• Accomplished on identifying employees main concerns by text mining methods, impacting on improvement of hiring process and on reducing time to explore concerns. Tools used: R Statistics, SQL and Excel.

• Responsible of the sample design of the survey for retail outlets in Mexico for index calculation of goods sales (clients: Coca-Cola, Pepsi, Procter & Gamble, Nestle, among others). • Achieved and maintained a representation with an error less than 4% in compliance with established standards. Tools used: R-Statistics, SQL and SAS.

• Selected as part of a multidisciplinary team responsible of building a predictive model of economic growth based on knowledge and innovation. Such model allowed the calculation of a "knowledge economy" index for Nuevo Leon and the construction of investment scenarios for science, technology and innovation (CTI) decision making. • Nowadays, the predictive model is part of the state scientific and technological information, and the results have been incorporated into the CTI strategic program for 25 years. Tools used: R Statistics and Excel

Project: Monitoring methods for acute respiratory infections

Project: Validation of an assessment instrument applied to education