Baptiste - Consultant PYTHON
Ref : 180815D001-
75003 PARIS
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Consultant, Data Scientist, Data Analyst (36 ans)
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Freelance
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Data scientist (contract).
LVMH, Paris.Head of Data: A. de Goursac, ********Jan 2020 - Jan 2020Supply Chain project. Development of a hierarchical sales forecast model at different levels
of geographics, time and products granularities. States-of-the-arts models (recurrent neural
networks). Intensive use of Python, Tensorflow, Dataiku. -
Director : E. Ducros, ********
Machine learning lecturer (freelance) at ESG Finance, Paris E. Ducros, ********Jan 2019 - Jan 2020Responsible for the Machine Learning courses (Master 2 level). Mathematical theory. Linear and nonlinear regression, classification and clustering algorithms. State of the art deep learning models (cnn, lstm, siamese, attention). Python, Keras.
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Deep learning consultant at Mindee , ParisContact: J. Grandperrin, ********Jan 2018 - Jan 2018
Study, implementation and evaluation of state-of-the-art deep learning models (cnn,
siamese, lstm, attentive networks, pointers networks) for text data (NLP solutions for
conversational agents system problematics such as question-answering, intention
disambiguation and duplicated questions detection) and images data (segmentation and
classification problematics). Intensive use of TensorFlow, Cuda, Python and R.
Deep learning scientist at Earthcube , Paris
September 2017 - May 2018 (9 months)
Contact: R. Allioux, ********
Study, implementation and evaluation of state-of-the-art deep learning (siamese, cnn)
models for satellites georeferenced images data (segmentation and classification for a
monitoring system) using Keras, Python, Qgis and R. -
Visiting PhD at National Institute of Informatics
TokyoContact: A. Takasu, ********Jan 2016 - aujourd'huiMachine learning and predictive models in heterogeneous data. I have proposed to integrate
a priori qualitative knowledge in structural-based models for ranking experts (individual with
tacit knowledges in a particular field of expertise) in digital libraries. Contributions have been
published in two leading computer science international conferences and associated results
have been presented in Suzhou (China) and Porto (Portugal). -
Contacts: P. Gallinari, ******** , and L. Denoyer, ********
Machine Learning intern at Laboratoire d'Informatique de Paris 6 , ParisJan 2013 - aujourd'huiOptimisation of predictive models in Information Retrieval. I have proposed to combine
sentiment analysis and information retrieval models for ranking web reviews using both
relevance and polarity criterions. -
Data Scientist
Social Network Chair - Institut Mines-Telecom ParisJan 2013 - Jan 2014Contact: C. Balagué, ********
In a five members team working on the development of a CRM software for a French leading
actor in data marketing, I was responsible for the data analysis part. I have proposed a new
customers engagement metric by crossing social data (from individuals behavior on
Facebook pages) and transactional data (from customers' shopping cart). Proposed work
was implemented in the platform and published in the 36th Marketing Science Conference. -
Data Analyst intern at IdeasVoice
ParisContact: Patricia Egard, ****Jan 2012 - aujourd'huiCustomers segmentation and classification from advertising campaigns data using R.
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Data Analyst intern at IdeasVoice , Paris
Jan 2012 - aujourd'huiContact: Patricia Egard, ********
Customers segmentation and classification from advertising campaigns data using R.
Formation
Ph.D in Computer Science at Institut de Recherche en Informatique de Toulouse
October 2014 – October 2017 (3 years)
Director: O. Teste, ******** . Supervisor: Y. Pitarch, ********
● My work has been focused on spectral graph models combining textual, structural
and temporal informations in application to high quality contents prediction in
collaborative platforms and digital libraries. Scientific contributions have been
published in 5 international conferences, 1 national conference and 1 book chapter.
List of publications : ********:Baptiste_de_La
● I was also responsible for the data-mining package of a 3 years projects aimed at
developing a new test bench for complex systems involving both industrial and
academic partners. I developed state-of-the-art algorithms to mine stream data
generated by planes' sensors in order to detect and explain abnormal behaviours.
● I also taught 150 hours of Information Retrieval, Economic Intelligence, Data Mining,
Algorithmic, Data Structures, Oracle Administration for Bachelors and Master
students at Université Paul Sabatier, INSA Toulouse and IUT Toulouse.
M.Sc in Artificial Intelligence and Decision at Université Pierre et Marie Curie
September 2011 – September 2013 (2 years)
Theoretical, applied statistics and probabilities for machine learning and predictive models.
Some of the projects were (a) facial recognition using deep neural networks, (b) author
disambiguation with regression models or (c) public bicycle system availability using markov
models.
B.Sc in Computer Sciences at Université Pierre et Marie Curie
September 2007 – September 2011 (4 years)
I spent 6 months at Université de Montréal in Quebec.
Ph.D in Computer Science at Institut de Recherche en Informatique de Toulouse
October 2014 – October 2017 (3 years)
Director: O. Teste, ******** . Supervisor: Y. Pitarch, ********
● My work has been focused on spectral graph models combining textual, structural
and temporal informations in application to high quality contents prediction in
collaborative platforms and digital libraries. Scientific contributions have been
published in 5 international conferences, 1 national conference and 1 book chapter.
List of publications : ********:Baptiste_de_La
● I was also responsible for the data-mining package of a 3 years projects aimed at
developing a new test bench for complex systems involving both industrial and
academic partners. I developed state-of-the-art algorithms to mine stream data
generated by planes' sensors in order to detect and explain abnormal behaviours.
● I also taught 150 hours of Information Retrieval, Economic Intelligence, Data Mining,
Algorithmic, Data Structures, Oracle Administration for Bachelors and Master
students at Université Paul Sabatier, INSA Toulouse and IUT Toulouse.
M.Sc in Artificial Intelligence and Decision at Université Pierre et Marie Curie
September 2011 – September 2013 (2 years)
Theoretical, applied statistics and probabilities for machine learning and predictive models.
Some of the projects were (a) facial recognition using deep neural networks, (b) author
disambiguation with regression models or (c) public bicycle system availability using markov
models.
B.Sc in Computer Sciences at Université Pierre et Marie Curie
September 2007 – September 2011 (4 years)
I spent 6 months at Université de Montréal in Quebec.