At Lionbridge Games, I execute client-designed test cases for daily builds and feature releases, identify functional defects, and validate fixes through regression testing. I also create reproducible Jira reports, review ticket quality, and develop QA documentation and procedures.
I've applied computational analysis to practical business problems at Casa Cuevano, where I built a pricing tool using market variables and helped optimize menu and kitchen logistics for a restaurant launch.
My applied mathematics training at Universidad de Guanajuato has grounded me in statistics, mathematical modelling, programming, and machine learning. I use Python, R, and SQL for data processing, statistical analysis, visualization, simulation, and validation.
My projects include Starbucks revenue forecasting, Atlantic tropical cyclone analysis, and a Python seismic time-series pipeline using filtering, Kalman state estimation, event detection, and validation.
