Jeremie S.

Data Engineer

555 dollar
6 ans
Grenoble, FRANCE

Mon expérience

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EPSIFebruary 2020 - Présent

I taught:
- IT Infrastructures and Artificial Intelligence.
- Neural Networks and Deep Learning foundations.

floki IOFebruary 2019 - Présent

FreelanceFebruary 2019 - Présent

floki IONovember 2019 - Présent

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Campus Numérique in the AlpsJanuary 2020 - Présent

I am teaching Python, Linux, Algorithms and Machine Learning.
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KlanikSeptember 2018 - February 2019

Work as Data Scientist & R&D Engineer for a client making industrial traceability solutions
Technical Environnement: Scala, Java, Python, Pandas, scikit-learn, ELK, spring, svn, Jupyter notebooks
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AUSYApril 2018 - August 2018

Work as Big Data Engineer for a big telecom company on client profiling and recommender system.
Technical Environnement: Hadoop, Java, Oozie, Pig, Spark, Scala, MapReduce, Linux, Git
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CATERPILLAR FRANCE SASOctober 2017 - February 2018

Major school project.
Machine Learning on data of a painting chain.
Technical environment : Scala, Python, R, spark, scikit learn, Linux, git
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MotorSatSeptember 2015 - September 2017

Startup creation project.

The goal of MotorSat is to design and sell CubeSats' Motors.
As futur co-founder and computer scientist in the team. I was in charge of IT and Data projects.
I coded the different prove of concepts systems (arduino) and also designed a Data Mining MVP to provide business insights.
Technical environment : Python, Arduino, JavaScript, pandas, PHP,..
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fieldcloud SASApril 2017 - September 2017

IoT middleware design and development.
I worked on real time data aggregation from IoT as part of my master thesis.
I design, implement and deploy some parts of the middleware.
Technical environment: Python, Linux, node.js, Docker, MongoDB, git,...

Mes compétences


Haskell, ASP, Scala, Bash, Python, SPARQL, Java, SQL, C/C++, JavaScript, R Language

Big Data

Spark, Hadoop, Data Visualization, Oozie, Big Data, Apache Kafka

Analysis methods and tools

Subversion (svn), Functional Programming, Agile Methodology


Data Science, Natural Language Processing (NLP), Problem Solving, Artificial Intelligence

IT Infrastructure

Git, Linux, Docker, Cybersecurity

Embedded and Telecom



Spring, Node.js, D3.js

Machine Learning

Scikit-Learn, TensorFlow, Deep learning, Neural networks, PyTorch

Application servers


Open Source solutions



NoSQL, MongoDB


Pandas, MapReduce, Flask, Machine Learning

Mes études et formations

Certificats - EPFL (École polytechnique fédérale de Lausanne)

Certificats - IBM

Advanced Master, Big Data - Grenoble Ecole de Management2017 - 2018

Master, Big Data - Grenoble INP - Ensimag2017 - 2018

Master of Science, Informatics and Cooperatives Systems - Université Savoie Mont Blanc2016 - 2017

Maitrise, Informatique - Université Grenoble Alpes2015 - 2016

Bachelor's degree, Computer Sciences - Université Joseph Fourier (Grenoble I)2013 - 2014