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Work Experience
Analytics intern
RAISA• May 2018 - August 2018
• Built a quantitative oil production model reaching 75% power prediction leveraging techniques such as lasso, ridge regression and random forest. • Designed an optimization model and tableau visualizations showing scenarios that potentially could reduce by 100% the waiting time for the oil investment process • Created operational risk tools for measurement, mitigation or avoidance of risk through qualitative and quantitative methods
Consultant
Scalar• October 2011 - December 2016
• Assessed 15+ risk management and predictive analytics projects for banks and financial non-profit organizations leading to the development of models to improve risk management • Designed and coded 7+ data science projects and initiatives (credit scoring, credit risk, operational risk) applying techniques such as logistic regression, decision tree, Montecarlo simulations, among others. • Managed 5+ software projects that resulted in new analytics products which increased revenue by 300%
Education
University of Texas at Dallas, Richardson
Data Science, MS• 2017 - 2019