Available to hire
I have a passion for data science and analytics, helping businesses leverage data for their growth and operational efficiency. With experience in teaching and consulting, I enjoy mentoring the next generation of data professionals while also pushing the boundaries of what’s possible with data.
From building predictive models to developing training programs, my goal is to empower organizations and individuals alike. I take pride in bridging the gap between technical expertise and practical application, ensuring that data-driven decisions lead to real-world results.
Work Experience
Independent Consultant at DataBoost Analytics
January 1, 2025 - PresentDeveloped predictive analytics strategies for small businesses, resulting in improved sales forecasts and 20% more accurate demand planning. Designed and delivered Python-based training programs for business users and analysts, increasing their data literacy and model-building capabilities.
Adjunct Professor at CETyS Graduate School of Business
October 1, 2024 - PresentDelivered graduate-level courses in applied data science (Python, R), focusing on use cases in supply chain, marketing analytics, and financial risk. Developed curricula aligned with industry needs in business intelligence and analytics, boosting course engagement and feedback scores above 90%. Mentored professionals in leveraging statistical tools to reduce operational costs and uncover growth opportunities.
Adjunct Professor at Autonomous University of Baja California
January 1, 2024 - December 1, 2025Taught hands-on modules in statistical modeling and machine learning, resulting in student capstone projects deployed in local businesses. Supervised data-driven thesis projects with measurable community and business impact.
Researcher, Consultant & Professor at CIMAT (Mathematics Research Center)
November 1, 2017 - January 1, 2024Led multi-year projects in econometrics, risk management, and statistical learning, securing over $50k in research funding. Directed analytics consulting for SAT, PENSIONISSSTE, and FEMSA, impacting over 2 million users via policy analysis and optimization tools. Developed the Econometric Observatory dashboard used by analysts for economic forecasting and public reporting.
Data Science Intern at Oleum Trading System (CIMAT)
January 1, 2012 - July 1, 2012Built financial news sentiment analysis pipelines using NLTK and Bloomberg data, improving asset signal-to-noise ratio for quant traders. Implemented real-time forecasting algorithms for asset prices, contributing to alpha generation strategy.
Education
Ph.D. at University of Sonora, Mexico
January 1, 2012 - January 1, 2016M.Sc. at UNAM, Mexico
January 1, 2009 - January 1, 2011B.Sc. at UABC, Mexico
January 1, 2004 - January 1, 2009Qualifications
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