Freelancer profile translated to English.

Description

Freelance Data Scientist since 2016, I specialize in two types of services:

● Data Mining, to better understand your data through analysis and visualization,

● Machine Learning & Deep Learning, to develop products that precisely meet your needs.

As an Arts et Métiers Paristech engineer, I know how to adapt to the specificities of your activity: we determine together the best way to deal with your problem and I support you at each stage:

● Analysis of your problem and qualification of the need

● Identify the necessary data, enrichment (Open Data, Scraping)

● Processing and cleaning to make them usable

● Analysis and visualization to understand your data

● If necessary, carrying out a POC to validate the feasibility of the project

● Development and optimization of the model

● Industrialization and deployment in production

To find out more, you will find some examples of achievements on my site (corelyo.com) and you can of course contact me to discuss your project!

Some tools:

- Languages: Python, SQL

- Machine Learning: Scikit-learn, XGBoost

- Deep learning: Keras, Tensorflow

- Computer Vision: OpenCV, Scikit-image

- Natural Language Processing (NLP): NLTK, SpaCy

- DataViz & Business Intelligence: Tableau Software, DigDash, Dash, Plotly

- Data processing: Pandas, Numpy, Scipy

- Web scraping: BeautifulSoup, Selenium

- BDD: MySQL, MongoDB

- Deployment: Docker, Flask, Gunicorn

Languages

English
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Lyon (up to 50km), Lyon (up to 100km), Paris (up to 100km), Besançon (up to 100km), Dijon (up to 100km)

Corelyo
Data Scientist
CONSULTING AND AUDITS
October 2016 - Today (9 years and 8 months)
Some examples of Data Science missions carried out:

● Machine Learning / Deep Learning:
o Development of an image grouping algorithm by similarities, applied to social networks, with the objective of evaluating the engagement generated by each type of image and optimizing the impact of publications.
o Implementation of an SEO keyword clustering API, based on SERP results, with the objective of grouping words sharing the same meaning.
o For a growth-hacking agency, creation of a Prospect qualification algorithm, based on their resemblance to current customers and highlighting the segments to approach as a priority.
o Image classification applied to quality control

● Analysis / Business Intelligence:
o Highlighting the impact of advertising on visitors to an e-commerce site
o Evaluation of market shares and the provisional budget for a POC of a website
o Creation of a dashboard for monitoring HR indicators for a hotel

For more information, you can visit my website www.corelyo.com, or contact me directly to discuss it!
Machine learning Data science Scikit-learn Python Data visualisation Data analysis Tableau software DigDash NLP Data mining Pandas Docker
ANONYME
Data Scientist
TECH
February 2021 - Today (5 years and 4 months)
Development of a movie & series recommendation engine for a VOD platform with a catalog of over 200k movies in multiple languages:
o Database cleaning, feature creation (movie collections...)
o NLP: Identification of similar descriptions in multiple languages
o Implementation of an unsupervised recommendation algorithm
o Deployment of an interactive test application and model optimization
Data science Data visualisation Data mining Python Recommendation NLP Machine learning Streamlit
ANONYME
Data Scientist
E-COMMERCE
June 2019 - October 2019 (5 months)
Development of a recommendation engine for an e-commerce site (30k products, 25k orders per month):
o Analysis of customer typology and behavior to pre-select relevant algorithms
o Definition of a metric and testing of different architectures and models.
o Selection of a Deep-learning model based on RNN (Recurrent Neural Network)
o Implementation of an API and packaging with Docker for production deployment
o Creation of a Docker image to retrain the model regularly
Python Data science Scikit-learn Machine learning Deep Learning keras RNN Docker flask

Check out Corentin's experience

François

EFFICITY

Reviewed on 11/20/2019

This second round allowed us, almost miraculously, to finalize a complex system and arrive at a Release Candidate deliverable on a subject full of uncertainties. Corentin was also good advice on possible improvements, even already implemented by him.

François

EFFICITY

Reviewed on 11/13/2019

First part of a mission combining audit/advice of the existing and construction of evolutions. Corentin was proactive and helped us to optimize the process.

Show all 20 reviews