Summary
Aline Jaimes is an environmental data scientist and performance engineer with 12 years of experience designing, deploying, and operating autonomous near-real-time monitoring systems for large-scale solar, wind, and ecological observatories. At ENGIE she architects data-driven monitoring and AI/ML pipelines to validate metadata and derive KPIs across 900+ distributed assets, translating sensor, electrical, and weather time-series into actionable operational intelligence. Her background spans academia and industry—from founding an environmental consulting practice to postdoctoral and research scientist roles—where she built wireless sensor networks, automated sampling systems, and cyberinfrastructure for spatiotemporal data integration. Published in peer-reviewed journals and trained across Rice and UC Berkeley programs in data analytics and information science, she blends rigorous field instrumentation expertise with modern analytics and forecasting to optimize resource management and emissions-aware operations. Notably, she has hands-on experience integrating mobile sensing platforms (UGVs, UAS) into end-to-end data systems, a niche that bridges environmental science and real-world engineering deployment.
12 years of coding experience
10 years of employment as a software developer
Master's degree, Use, Management, and Preservation of Natural Resources. Focus on physical-biological oceanography, Master's degree, Use, Management, and Preservation of Natural Resources. Focus on physical-biological oceanography at Northwest Center of Biological Research
Doctor of Philosophy (Ph.D.), Environmental Science and Engineering, Doctor of Philosophy (Ph.D.), Environmental Science and Engineering at The University of Texas at El Paso
Certificate, Data analytics and visualization, Certificate, Data analytics and visualization at Rice University
Bachelor's Degree, Marine Biology/Biological Sciences, Bachelor's Degree, Marine Biology/Biological Sciences at Universidad Veracruzana
Master's degree, Information and Data Science, Master's degree, Information and Data Science at UC Berkeley School of Information
English, Spanish