معرفی
Daniel García Hernández is an Adjunct Professor at IE University's School of Science and Technology (IE SST), where he has taught courses like Python for Data Analysis I/II and Machine Learning II since 2020. His academic work intersects with a professional career spanning energy trading, nuclear engineering, and data science leadership roles in startups and corporations.
- Education:
- BSc + MSc in Mining Engineering, Universidad Politécnica de Madrid (UPM), 2014
- MSc in Data Science, K-School, Spain, 2018 (all but thesis)
- Expert course in Deep Learning, K-School, Spain, 2019
Daniel's research and teaching focus on practical applications of data science, particularly through Python programming and machine learning techniques in industrial contexts. His career bridges technical expertise in mining engineering with advanced data science skills applied across energy markets and e-commerce platforms.
As an adjunct faculty member since 2020, he combines academic instruction with industry roles including:
- Lead Data Scientist at Yaba (2021–Present)
- Data & AI Manager at Westinghouse Electric Company (2021)
- Lead Data Scientist at Axpo (2017–2021)
- Asset-backed trader at Acciona Energia (2014–2017)