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Robin LietarRL

Robin Lietar

Data scientist python - Machine Learning developer

€700/day
8 projects
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Robin

Engineer from Mines Paris with a specialized Master's in Data Science - Machine Learning from UPMC, including courses in machine learning, data mining, and Big Data (Spark).
I have specialized in full-stack development and Data Science for over 4.5 years. CTO of my current company, where I developed all data processing for a database of 300,000 users:
- recommendation algorithms using sci-kit learn, pandas, numpy, employing collaborative filtering and matrix factorization algorithms.
- content extraction from various websites (scraping),
- data standardization and enhancement with Natural Language Processing algorithms,
- management of a NoSQL database on Firebase.

I had the opportunity to work for 6 months at the CSIRO research center (equivalent to CNRS in Australia) on Tweepy, extracting data from Twitter and categorizing tweets using NLP (tokenization, lexical analysis...).
I also worked for 6 months in Berlin for a startup called Funding Circle, managing their data with PostGreSQL.

Furthermore, I have completed several university projects in Data Science, including recommendation systems, clustering, and time series analysis. Among these projects:
- prediction of tennis match outcomes from a database of 10,000 matches,
- forecasting music listening trends on Deezer from a database of 8 million entries (GPU algorithms),
- prediction of monthly parts demand for Valéo (30k entries).

With a very curious personality, I enjoy delving into a company's challenges and understanding key performance indicators. I like solving problems and automating processes.

Key achievements:
- 2nd place in the Data Science Game (international Machine Learning competition with 400 teams)
- Obtained the Machine Learning - Stanford certification on Coursera
  • French

    Native or bilingual

  • English

    Native or bilingual

Can work on-site
Paris (up to 50km), Marseille (up to 100km), Nice (up to 100km)

Experience

  • See U Better
    Malt logoOn Malt
    Data Automation
    January 2021 - April 2021 (3 months)
    Paris, France
    Implementation of a data processing pipeline to generate client reports:
    - Automatic extraction of reports from Monitorank using Selenium and Beautiful Soup,
    - Use of pandas, Pygsheets, and Pydrive to access historical data
    - Use of Pydocx to automatically generate a Word document
    - Deployment on Heroku with scheduler and Headless Chrome
    Data Engineer Python Pandas GitHub Heroku
  • Vivendi
    Development of anti-cheat algorithms for an online chess website
    VIDEO GAMES AND ANIMATION
    January 2021 - March 2021 (3 months)
    - Implementation of behavioral sensors to detect opponent cheating on the React front-end
    - Aggregation and calculation of behavioral indicators in Java and Node at the end of the game
    - Design of Machine Learning algorithms for cheat classification
    React.js Java Node.js Redis PostgreSQL
  • Deeple
    Design of a mobile finance application
    BANKING AND INSURANCE
    June 2020 - Today (5 years and 11 months)
    Development of a mobile application in React Native for wealth tracking.
    Features:
    - Access the latest quarterly view of your consolidated assets with a wealth overview
    - Access your organized "To do signature" and sign your documents in a few clicks from your application.
    - Participate, exit, key milestones, discover what's behind your private market portfolios with the latest news and valuable information on your investments.

    Implementation of Docusign, Recoil, and Firebase
    React Native Firebase

Reviews

5.0

Out of 4 ratings

MehdiM

Mehdi

La Compagnie Generale de Paris

Reviewed on 3/2/2021

We are very satisfied with Robin's work and what he has brought to our project. He quickly made himself available and got involved to fully understand the complexities of our project and help us solve challenges in the best possible way.
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Account deleted

Reviewed on 11/25/2019

Robin possesses all the qualities of a CTO capable of getting his hands dirty with code and then stepping back to think about a global and scalable architecture. I highly recommend him!

Recommendations

Fabrice S.FS
FU
FU
+1
Fabrice S. and 3 other people have recommended Robin

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Education

  • Master DAC (Data, Learning, Knowledge)
    UPMC
    2017
    Cours : - Data Mining et Réseaux sociaux - Machine Learning - Big Data - Recherche d'informations - Reconnaissance d'images
  • Preparatory classes MPSI / MP*
    Lycée Stanislas
    2013
    Cours intensifs en maths, physique, informatique pour préparer les concours des Grandes Écoles. Admis aux Mines de Paris.

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