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Principal Data Scientist | Machine Learning Innovator | Driving Business Impact & Engineering Solutions through AI and Applied Research
As a Principal Data Scientist with over 12 years of experience, I have a passion for leveraging advanced machine learning and AI techniques to solve complex business and engineering challenges. With a Ph.D. in Computer Science, I specialize in developing innovative solutions across supply chain optimization, drilling automation, and anomaly detection. I’ve led the development of patented machine learning systems that drive tangible results, improving drilling efficiency and minimizing equipment downtime. My expertise spans both research and real-world application, including cross-functional collaboration with finance, operations, and engineering teams to deliver actionable insights that improve operational efficiency and drive strategic decision-making. I’m always looking for opportunities to push the boundaries of AI and data science, focusing on high-impact solutions that drive both innovation and business value.
University of Houston
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2006 – January 1, 2012
CINVESTAV-IPN
Master of Science (MSc), Computer Science
January 1, 2002 – January 1, 2004
ITESO Universidad Jesuita de Guadalajara
Bachelor of Science (BSc), Computer Software Engineering
January 1, 1997 – January 1, 2001
NOV
Principal Data Scientist
April 1, 2026 – Present
NOV
Senior Data Scientist
February 1, 2022 – April 1, 2026
NOV
Senior Machine Learning Scientist
October 1, 2014 – February 1, 2022
University of Houston
Research Assistant
January 1, 2006 – January 1, 2012
ASCI
Software developer
March 1, 2005 – March 1, 2006
Cultural Fit Analysis
The candidate has a long tenure at a single company (NOV) in various data science and machine learning roles, demonstrating loyalty and deep domain expertise. While this shows stability, the lack of diverse industry experience or projects outside of the oil and gas sector might limit exposure to different data analysis challenges and tools. The target role is 'Data Analyst', which might be a step down from 'Principal Data Scientist' in terms of scope and leadership, potentially impacting cultural fit if the candidate expects a more senior, strategic role.
Soft Skills & Operational Fit
The candidate's experience in leading projects, collaborating with executive leaders, and presenting insights suggests strong communication and leadership skills. Their extensive background in research and development indicates a problem-solving mindset and ability to handle complex challenges. However, specific psychometric test results are not available to fully assess work attitude, stress handling, or team collaboration.