Selected Projects:
▪Incorporating Machine learning Techniques in the Insurance Industry, Virtual I, Switzerland (202o-2022) Providing consulting services in predicting potential outcomes on insurance policies to aid underwriters when making decisions. The proposed models are created with simulated data and are automatically updated as new data arrives from customers' claims. University of Houston (2015 – 2019) Employed machine learning to develop a software tool for classifying astronomical objects. This method used domain adaptation which increased adaptability to new tasks over variable data distribution, as with the automatic classification of Supernova Ia.
▪Data Mining Techniques Applied to Seismic Data University of Houston/Repsol (2013 – 2014) Contributed to the development of a high-accuracy software solution model that automatically identifies and delineates geological elements from seismic data. The method implements machine learning techniques such as supervised learning t

Planned, developed, and completed numerous projects in several industries including aerospace and the oil and gas sectors. Additional Experience

Teaching classes in statistical machine learning at both the undergraduate and graduate levels.

Development of predictive algorithms applied to systems management that alert the user of potential failures.
The system performs long-term prediction of performance variables (e.g., disk utilization), short-term prediction of abnormal behavior (e.g., thresh-old violations), and prediction of system events (e.g., router failure).