Browse profiles Post a project
Malt welcom

Welcome to Nicolas's freelance profile!

Malt gives you access to the best freelancers for your projects. Contact Nicolas to discuss your project or search for other freelancer profiles on Malt.

Nicolas Rey

Data Analysis & Machine Learning

Works remotely from Paris

  • 48.858705
  • 2.342865
New
Propose a project The project will begin once you accept Nicolas's quote.
Propose a project The project will begin once you accept Nicolas's quote.

Location and workplace preferences

Location
Paris, France
Remote only
Primarily works remotely

Preferences

Project length
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months

Verifications

Freelancer code of conduct signed
Read the Malt code of conduct

Verified email

Languages

Categories

Skills (9)

Nicolas in a few words

Data scientist depuis plus de 5 ans, mes competences ne sont ainsi pas uniquement liées a la data science. En effet, au cours de mon parcours professionel, j'ai pu travailler sur les sujets suivants:

- Modèles prédictifs (Econometrie, Machine Learning et Deep Learning)
- Parsing automatique de document
- Natural Language Processing
- Reconnaissance d'image
- Blockchain analysis with Web3
- Developpement de dashboard pour une visualisation simplifiee de donnees (Dash + Plotly)
- Developpement d'App en Python

Technologies et frameworks principalement utilisés :
- Blockchain Analysis : Web3
- Data science et machine learning : Python / Pytorch / Tensorflow / Scikit-learn / Numpy / Scipy / Pandas / Plotly
- Outils et frameworks web : Flask
- Scrapping : Python, Requests, Selenium, BeautifulSoup

J'ai également une équipe de 2 data scientists à mes côtés pour vous aider au mieux sur les sujets de grande envergure.

Experience

SingularityDAO

Data Scientist

December 2021 - February 2022 (2 months)

Engineered and backtested investment strategies Built trading bots on CEXs Retrieved historical data from CEXs and DEXs

BNP PARIBAS - BNP

Data Scientist

Paris, France

March 2018 - October 2021 (3 years and 7 months)

Quantitative Management Associates (QMA)

Machine Learning Summer Intern

Newark, NJ, USA

July 2017 - September 2017 (2 months)


• Programmed Recurrent Neural Network using LSTM cells with Tensorflow in Python
• Created chaotic time series to compare the RNN model accuracy with an ARIMA model one
• Applied the RNN, ARIMA and naive models to financial data and analyzed the best performing one based on several criteria

Mandarine Gestion

Analyst

Île-de-France, France

July 2016 - September 2016 (2 months)

Recommendations

Check out Nicolas's recommendations

Education