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Javier Tejedor Aguilera

WHO

Javier Tejedor Aguilera

POSITION

Professor, Master Business Analytics & Big Data

Responsible for Fraud Detection and Lead Data Scientist, Endesa e-Distribución

AREA

Data Science & Technology

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