About Me
I'm a Data Engineer and Data Scientist based in Mexico City, originally from Saltillo, Coahuila. I specialize in building data-driven tools, automation systems, and machine learning solutions that solve real business problems.
In 2023, I earned a Master's degree in Data Science and Analytics from the Center for Applied Mathematics Research at Universidad Autónoma de Coahuila. My academic work focused on Natural Language Processing and anomaly detection in time series data, culminating in published research on residential electricity consumption anomaly detection.
Since joining John Deere in 2021, I have worked within the global Supply Chain organization, designing and implementing solutions that improve efficiency, data quality, and decision-making across manufacturing operations. My work spans SAP process automation, data pipeline development, machine learning applications, and process standardization initiatives serving stakeholders across the United States, Mexico, Europe, India, and Argentina.
In addition to my technical responsibilities, I lead a team of two full-time professionals providing direct support to U.S. operations. I enjoy bringing together technical expertise, business strategy, and clear communication to deliver measurable results. Whether the challenge involves analytics, automation, or operational improvement, I am most energized by transforming complex problems into practical, scalable solutions.
Beyond engineering and data, I enjoy writing, public speaking, and exploring the intersection of technology, business, and human behavior. If you'd like to learn more about my interests and perspectives, visit my blog, La Náusea Embriagante and please feel free to leave a comment!
Experience
2024 - Present
Data Engineer · John Deere
- Designed and deployed SAP master data automation solutions supporting global supply chain and manufacturing operations.
- Generated 800+ annual hours of savings across 36 manufacturing facilities through automation initiatives.
- Lead a team of two professionals supporting 24 U.S. manufacturing locations, coordinating service delivery, stakeholder engagement, and continuous improvement efforts.
- Partner with stakeholders across North America, Europe, India, and South America to develop scalable data-driven solutions that improve operational performance.
2025 - Present
Adjunct Professor · Universidad TecMilenio
- Teach Statistics & Probability for Data Science and Python Programming at the undergraduate level.
- Develop hands-on learning experiences that bridge statistical theory, programming, and real-world business applications.
- Mentor students in analytical thinking, problem solving, and data-driven decision making.
2022 - 2024
Parameter Analyst Senior · John Deere
- Coordinated supply chain operations and stakeholder engagement between U.S. and Mexico teams.
- Expanded automation adoption from 50% to 80%, establishing the foundation for scalable process automation across supply chain operations.
- Standardized workflows and supported cross-functional initiatives that improved operational consistency and efficiency across multiple regions.
Education
2023
Master's in Data Science and Automation
- Research focus: NLP and Time Series Anomaly Detection
- Published research on residential electricity consumption anomaly detection.