Freelancer profile translated to English.

Description

Independent Data Scientist since 2018, I started with a general engineering degree in digital sciences with a specialization in digital signal processing, with a background of internships in research within INSA research laboratories in image processing, then at the National Centre for Space Studies in Toulouse on a successful subject of modeling AIS signal reception by satellite.

I then entered the service industry, moving from scientific computing at CEA to Web & mobility topics, carefully preserving my algorithmic skills, put to use for Data subjects as soon as the opportunity arose, and in parallel developing an ability to manage a project, a team, to quickly understand the challenges of the client businesses encountered, as well as a sense of commitment and service provided.

I remain a technophile at heart and driven by my curiosity, I find immense joy in discovering each of your businesses. Bringing Data Science tools to a new business domain has become my favorite occupation :)

With my background, I am available to help you with all phases of your project, and when it falls outside my area of expertise, I will know how to direct you to the right people.

Finally, if you are undertaking R&D projects, please note that I have taken the steps to obtain CIR (Research Tax Credit) accreditation for the years 2024 to 2026.

Do not hesitate to contact me & see you soon!

Raphael

Languages

French
Native or bilingual
English
Fluent
Spanish
Conversational

Workplace preferences

Can work on-site

Lyon (up to 50km)

Beta Gouv - DINUM
Data Scientist
PUBLIC SECTOR
January 2024 - Today (2 years and 6 months)
Lyon, France
Data Scientist at Beta Gouv for the startup Aigle on computer vision and satellite imagery topics, I also intervene to help set up impact metrics for different product teams within the incubator.
Deep Learning Computer Vision GIS Data Processing Cloud computing PostGIS Data science Artificial Intelligence (AI) Python Data visualization Object Detection
Agir pour l'Ecole
Data Scientist
EDUCATION AND E-LEARNING
April 2019 - Today (7 years and 3 months)
Lyon
Lead Data for all digital-related projects, I manage the design, R&D, and industrialization phases of models, as well as all the Analytics part:

- Training Deep Learning models (tf and pytorch in AWS cloud context, porting to iOS and Android mobile) for SpeechToText tasks adapted to children's voices.
- Building and refining audio datasets (managing collections and labeling)
- Developing Machine Learning algorithms and models for reading error detection and analysis.
- Developing internal Python packages
- Setting up and developing Python and Pandas data pipelines orchestrated via Airflow
- Setting up Dashboards (Superset) for monitoring and analysis for the business team

***
Data science Data visualization E-learning Machine learning Deep Learning Cloud computing SQL IS Architecture Python (Programming Language) Workshop Facilitation Project Management Apache Airflow Back-End Development noSQL Superset Terraform Docker AWS Lambda AWS S3 AWS RDS AWS EC2 XGBoost TensorFlow Pytorch coreml onnx sklearn
Entropeak
Founder & Data Scientist
DIGITAL AND IT
August 2018 - Today (7 years and 11 months)
Lyon, France
Leading and executing AI projects in R&D phases (CIR accredited)
Developing the Data Science Engineering Department.

Data Science Consulting Missions:
- Chemistry domain: modeling of molecule screening processes
- Health domain: automation of Sepsis complication detection
- Finance domain: automation of fraud detection & automation of dispute resolution
- Energy domain: automation of predictions around the value of kWh, automation and improvement of power production prediction for several renewable energy parks
- Sales domain: sales prediction for stock management optimization
- Generative AI: implementation of GAN White box cartoonization architecture on incoming video streams, design of a support Chatbot based on LLM with RAG on a specific knowledge base

Technical environments: Python, tensorflow, keras, sklearn, xgboost, numpy, pandas, matplotlib, plotly, Coreml, AWS, git, docker
Data science Data visualization Python Machine learning Deep Learning Scikit-learn CART Sequences Models Time Series TensorFlow Renewable Energies Streamlit SQL noSQL Generative AI GPT3 ChatGPT large language model Retrieval Augmented generation Generative architecture network Transformers

Check out Raphael's experience

Account deleted

Reviewed on 1/28/2021

Ambitious R&D project within a tight schedule and challenging context. Yet Raphael and the entire Entropeak team were remarkable in their clarity, pedagogy, efficiency, and creativity in the face of these demanding technical and operational challenges. A great deal of care was taken in defining the problem, visualizing the available data, and specifying the objectives pursued. The avenues investigated and the tests performed were chosen rigorously, allowing no time to be wasted and preserving the defined budget. An excellent experience in all aspects... which we are obviously renewing! :)

Account deleted

Reviewed on 10/30/2020

Raphael carried out a consulting mission for PREVIA MEDICAL in modeling our algorithm. He assisted us in scoping, design, and execution. A passionate, ethical, professional, and creative Data Scientist who inspired confidence from our first discussions. I recommend him without hesitation for both his professionalism and the pleasure of working with him.

Show all 4 reviews