Freelancer profile translated to English.

Description

Senior/Lead Data Scientist

Several years of experience in data processing, from its retrieval to the design of custom models. I teach NLP in a master's program at a University in Paris, and also offer training in companies.

- data strategy and roadmap

- algorithm development

- integration of Machine Learning models

- data visualization

- scraping

- development of AI products

- python developments

- BDD modeling

- design of Machine Learning models (Sentiment Analysis, Classifications, ...)

- NLP, ML, python training

- ok for supporting Startups with a flexible organization (flat fee, 1 day per week + junior, pricing...)

My successes:

-> @ Bpifrance: improvement of the internal rating model thanks to NLP

-> @ Zenika: Big Data team, ML and NLP trainer

-> @ Ezeria: Lead Data Scientist, assignment of the intellectual property of an ML/NLP processing

-> @ Qwarry: Lead Data Scientist, support up to the fundraising

-> @ EasyVista: Ai Product Manager, automation of data scientist decisions, creation of an AI product

Languages

English
Native or bilingual
French
Native or bilingual

Workplace preferences

Can work on-site

Paris 12e Arrondissement (up to 50km)

ezeria
Lead Data Scientist
DIGITAL AND IT
March 2019 - September 2019 (6 months)
Creation of a Machine Learning software, transferred to EasyVista (global provider of intelligent and automated Enterprise Service Management solutions and distinguished each year for more than ten years in the Gartner ITSM Magic Quadrant)

Ezeria makes it possible to meet the automation needs of ITSM and ensure the optimization of support services. Development of an API that qualifies customer support requests using a semantic analysis of descriptions and classification models.

Redis, OVH, python, Word2vec
POC Python NLP Machine learning Redis
bpifrance
Senior Data Scientist
BANKING AND INSURANCE
March 2017 - March 2019 (2 years)
Implementation of the artificial intelligence offer for the Data department and raising awareness among business departments of the potential of Data Science to identify and model use cases.

-> IT Department: Integration of ML with monthly reporting
- Classification of internal incidents to improve user autonomy
- Improvement of the user knowledge base

-> Risk Department: NLP
- Exploration of documents attached to loan applications to highlight new indicators of default
- Improvement of the internal rating model.

-> Digital Department: Enrichment and data quality
- Enrichment of the customer base
- Identification of obsolete data and automated updating of information.

HDFS, MongoDB, Elastic Search, python, pySpark/Spark ML, Tortoise SVN, Qlik, Agility
Python Data science PySpark HDFS Data visualisation MongoDB Qlik Machine learning