Grade : Doctorante CIFRE

Mail : lena.carel[arrowbase]ensae.fr


Research Interests


I attend a PhD on the topic "Big Data Analysis in the field of transport". I have a strong interest in the machine learning methods used on smart-card data :

- Frequencies forecasting,

- Clustering of Passengers, Lines, Stations,

- ...




Since February 2016 : PhD student in Statistical Laboratory at CREST, through CIFRE program (PhD funded by National Agency of Research and Technology and Transdev Group) supervised by Pierre ALQUIER, ENSAE ParisTech - CREST (Malakoff)

2011 - 2015 : Engineering Diploma in Mathematical Modelisation - Statistical Methods & Models, INSA Toulouse (Toulouse)

2012 - 2013 : Erasmus Semester, Technische Universität Wien (Vienna)




Since November 2015 : Research fellow under CIFRE PhD program, Transdev Group (Issy-les-Moulineaux)

2015 (6 months) : Graduation Internship - Junior Project Manager, GfK Retail & Technology (Suresnes)

2014 (3 months) : Internship - Statistician, Kantar worldpanel (Chambourcy)

- Modelling consumers' loyalty to retailer

- Ranking the sections influencing the loyalty



L. Carel, P. Alquier, Non-negative Matrix Factorization as a Pre-processing tool for Travelers Temporal Profiles Clustering, Proceedings of the 25th European Symposium on Artificial Neural Networks, Computationnal Intelligence and Machine Learning (ESANN), 2017, M. Verleysen Edt., i6doc.com Publ., pp. 417-422. An electronic version of the paper is available here.



2016 - 2017 : ENSAE - Tutorials in statistics (2A) and optimization (1A)

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