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Photo Florian
Florian - Consultant technique POSTGRES CV n°190426R001
  • Profil Consultant technique, Data Scientist, Développeur - 27 ans
  • Domicile 75017 PARIS
  • Domaines d'expertise Consultant technique, Data Scientist, Développeur, Assurance Retraite / Prévoyance / Santé, Conseil en organisation et système d'information, Distribution
Compétences techniques
APACHE SPARK
ELASTICSEARCH
POSTGRES
POSTGRESQL
PYTHON
DATAVIZ
PYTHON DJANGO
REACT.JS
SCALA
Études et formations

WORKPHILOSOPHY
“Ab esse ad posse valet, a posse ad esse non valet consequentiat.”

SKILLS
Statistics Data analysis Data Viz
Machine learning Project management
Start-up Software development
Python (Pandas/Scikit-learn/Pytorch/Django)
ElasticSearch Cassandra Hadoop
Spark PostgreSQL AWS GCP Scala
Java JavaScript (Angular/RxJS, D3.js, React)

LANGUAGES
French &&&&&
English &&&&&
German &&&&&

EDUCATION
M.Sc Big Data
Télécom ParisTech
 2014 – 2015 ½ Paris, FR

French engineer degree
IMT Atlantique
 2010 – 2014 ½ Nantes, FR

Expériences professionnelles

Freelance Data scientist
Independent
 Since December 2017 ½ Paris, FR; Lisbon, PT
 Data science and Development missions
 Worked on recommendations, Churn prediction, predictive maintenance and signal classification systems
 In different sectors (luxury, retail, civil engineering, agribusiness) and varied company sizes
 Led some team and introduced best practices
 Tools used:Python/Django/scikit-learn, Java, GCP, Spark, ElasticSearch, React/React-native, IBM Fabric Blockchain, D3.js...

Data scientist
Impala
 December 2016 – December 2017 ½ Paris, FR
 First employee of an Ed-tech startup
 Management, tracking and data analysis
 Text mining and recommendation systems
 Back-end and front-end development
 Tools used:Python/Django/scikit-learn/Gensim, PostgreSQL, AWS, ElasticSearch, Angular2/RxJS...

Data science consultant
EY Analytics
 June 2015 – December 2016 ½ Paris, FR
 Data science consultancy missions both internal and on client side.

Development, machine learning and results communication
 Fraud detection and weak signals analysis in a major insurance company
 Fight against money laundering and terrorist financing in a banking institution
 Tools used:Python/Pandas/scikit-learn, PostgreSQL, D3.js, R/Shiny...

PROJECTS
Social project: Job map creation
Data for good
 March 2016 – May 2016 ½ Paris, FR
 PoC of a data science product with a strong social value. Representation of all jobs in a map targeted toward young people.
 Leader of a team of developers and data scientists
 3Jury price award
 Tools used:Python, HTML/CSS/D3.js, t-SNE, Clustering

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