Gen Yang
About Gen Yang
Gen Yang is a Data Scientist at Kpler in Paris, where he has worked since 2016. He specializes in integrating diverse data sources to enhance insights in energy trading and transportation.
Work at Kpler
Gen Yang has been employed at Kpler as a Data Scientist since 2016. Based in Paris, Yang has accumulated eight years of experience in this role. At Kpler, Yang works with diverse data sources, including AIS signals and satellite geolocation data, to enhance insights in energy trading and transportation. The focus is on producing valuable insights and knowledge through collaboration with domain experts, rather than solely making predictions.
Education and Expertise
Gen Yang holds an Engineer's degree from ENSIIE - École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise, where studies included Engineering, Information Technology, Decision Mathematics, and Business & Finance from 2009 to 2012. Yang further pursued academic excellence at Université de Technologie de Compiègne, earning a Doctor of Philosophy (PhD) in Information Technology from 2013 to 2016. This educational background supports Yang's expertise in developing machine learning and pattern recognition models.
Background
Prior to joining Kpler, Gen Yang gained experience in various roles. Yang completed a five-month internship in statistical and economic data analysis at Banques Populaires et Caisses d'Epargne in 2012. Additionally, Yang worked as a Lead Quality Manager at Junior-Entreprise Dièse in 2011 and served as a Project Manager at the same organization from 2009 to 2011. Earlier experience includes a role as a Quality Controller at Bysoft China in 2010.
Achievements
In the role of Data Scientist at Kpler, Gen Yang focuses on integrating expert knowledge into models that address complex issues in maritime energy cargo and trades tracking. Yang's work specifically targets areas such as Liquefied Natural Gas, Petroleum Gas, Crude Oil, and Oil Products, contributing to enhanced understanding and operational efficiency in the energy trading and transportation sectors.