Javier Tejedor Aguilera

With 20 years of experience in data analysis and predictive modeling in the electricity sector, Javier is currently Responsible for Fraud Detection and Lead Data Scientist at Endesa e-Distribución since 2016, where he applies Machine Learning and manages a team of data scientists and data engineers. He obtained the Kaggle Competitions Master Tier in Feb-2016 and has participated in over 24 different competitions applying Machine Learning and Deep Learning to solve real business challenges. He is co-author of two papers on the application of Machine Learning and Deep Learning in the detection of Non-Technical Losses of electrical energy. He is also a frequent speaker at Machine Learning meetups and co-organizes Kaggle Days Meetup in Madrid and Seville.

Corporate Experience

• Responsible for Fraud Detection and Lead Data Scientist at Endesa e-Distribución, Spain, 2016-Present
• Responsible for Metering and Automatic Remote Metering at Endesa e-Distribución, Spain, 2001-2016

Academic Experience

• Adjunct Professor of Data Science Competitions, Master Business Analytics & Big Data, IE School HST, Madrid, Spain, 2019-Present
• Adjunct Professor of Machine Learning, Master Big Data & Business Analytics, IMF School, Sevilla & Málaga, Spain, 2019-Present
• Adjunct Professor of subjects Advanced Machine Learning and Data Analytics, Master Big Data & Analytics, Datahack School, Sevilla, Spain, 2018-Present

Academic Background

• University diploma in Data Science and Big Data, Universidad de Sevilla, Spain, 2016
• Bachelor + Master in Marketing, Facultad de Ciencias Económicas y Empresariales, Universidad de Sevilla, Spain, 2010
• Bachelor of Science + Master of Science in Telecommunication Engineering, Escuela Superior Ingeniería, Universidad de Sevilla, Spain, 2000