Dr. Yang JIAO
Professeur Expert en Data science | Lead Data Scientist chez Coface
Domaine(s) d'expertise
Data science
Yang Jiao est titulaire d’un doctorat en Intelligence Artificielle de l’Université Pierre-et-Marie-Curie. Il a travaillé en tant que data scientist à Cdiscount puis à Vente-privee.com, avant de rejoindre Coface en 2019, au titre de lead data scientist.
| Année | Université | Diplôme/Poste |
|---|---|---|
| 2013 - 2018 | Sorbonne Université Campus Pierre et Marie Curie | PH.D in Computer Science, Thesis: Applications of Artificial Intelligence In E-Commerce and Finance |
| 2009 - 2013 | Institut Mines-Télécom | Engineering Degree in Risk Management |
| Année | Fonction |
|---|---|
| 2020 - Aujourd’hui | Professeur expert IA - aivancity |
| 2019 - Aujourd’hui | Lead Data Scientist, Coface |
| 2018-2019 | Senior Data Scientist - Veepee (ex vente-privee.com) |
| 2016- 2018 | Data Science Consultant, Freelance (Served more than 30 clients in various domains) |
- Yang Jiao et al. (2017) "Predicting stock movement direction with machine learning: An extensive study on S&P 500 stocks," 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, 2017.
- Yang Jiao et al. (2017). The categorization challenge organized by Cdiscount on datascience. net in 2015: analysis of the released data set and winning contributions. SFdS - Dossier spécial : Concours et challenges en statistique.
- Yang Jiao et al. (2016). Reranking strategies based on fine-grained business user events benchmarked on a large e-commerce data set. In International Conference on Electronic Commerce and Web Technologies, Springer, Cham.
- Yang Jiao et al. (2015). An entropy-based term weighting scheme and its application in e-commerce search engines. ISWAG (International Symposium on Web Algorithms), 2015.