Sep 23–26, 2019
Viridiana Lourdes

Viridiana Lourdes
Data Scientist, Ayasdi

Viridiana Lourdes is data scientist at Ayasdi with over 15 years of experience applying advanced statistical methods to challenging problems and implementing solutions through the use of latest technology. She’s developed statistical models for bid data based on the integration of quantitative research with advanced scientific computation and collaborative interdisciplinary applications in many fields, and she has practical experience in econometrics, portfolio management, asset allocation, portfolio construction, optimization, and risk management. Her computer programming experience includes professional-level applications with Python and statistical software R. She earned her doctor of philosophy and MS in statistics and decision sciences from Duke University and an MA in finance and a BA in actuarial sciences from ITAM. Her quantitative skills include Bayesian dynamic linear models, econometric models, time series and forecasting, predictive modeling, nonlinear models, generalized linear models, multivariate analysis, multifactor models, and classification trees.

Sessions

9:45am10:30am Tuesday, September 24, 2019
Location: 1A 08
Viridiana Lourdes explains how banks and financial enterprises can adopt and integrate actual risk models with existing systems to enhance the performance and operational efficiency of the financial crimes organization. Join in to learn how actual risk models can reduce segmentation noise, utilize unlabeled transactional data, and spot unusual behavior more effectively. Read more.

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