Freelancer profile translated to English.

Description

I am Raphaël Cohen, CTO and Co-Founder of Kosi, a revolutionary AI-based interior design application.

A recent graduate in Data Science and Artificial Intelligence from Paris-Dauphine University, I have developed in-depth expertise in data science, machine learning, and data visualization through my experiences at HSBC, Ekimetrics, and Magellan Consulting.

My consulting experience has provided me with a deep understanding of client needs, ideally preparing me for freelance assignments.

Specializing in creating efficient AI algorithms in Python and deploying them on cloud platforms, I am seeking freelance opportunities in Data Science, Artificial Intelligence, Data Visualization, or IT in general, where I can bring significant added value by transforming data into concrete insights and developing innovative solutions tailored to specific client needs.

Feel free to contact me!

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Kosi
CTO & Co-Founder
ARCHITECTURE AND URBAN PLANNING
October 2023 - Today (2 years and 8 months)
Paris, France
As CTO and Co-Founder of Kosi, I played a key role in developing our interior design application.

Kosi uses generative artificial intelligence to allow users to personalize their living space.

My contribution involved developing the AI algorithm in Python and deploying it on the cloud, ensuring a smooth and intuitive user experience.
Kosi stands out for its ability to harmoniously adapt individual elements, such as furniture, within a space, offering unique customization and a wide range of styles, from modern to classic. Our goal is to make interior design accessible and customizable for everyone.
OVH Cloud Docker Python Artificial Intelligence (AI) Computer Vision
HSBC
Data Scientist - Apprenticeship
BANKING AND INSURANCE
September 2022 - September 2023 (1 year and 1 month)
Paris, France
Data Scientist within the retail banking division
• Development of a Machine Learning model to anticipate the return of expatriates to France
• Thesis project: Calculating CLV (Customer Lifetime Value) using statistical, econometric, and supervised learning methods
Deployment of these models to integrate these predictions into product recommendation strategies
Python
Ekimetrics
Junior Data Scientist - Internship
CONSULTING AND AUDITS
March 2022 - August 2022 (5 months)
Paris, France
Data Science and Machine Learning Consultant
• R&D project for multilingual sentiment analysis through the development of a Python library using NLP and Deep Learning methods
• Implementation of MMM (Marketing Mix Modeling) tools for a client. Analysis of various marketing campaigns through sales and ROI modeling based on econometric methods
Development of a statistical model to evaluate the contribution of each marketing lever
Translate this modeling into business recommendations: optimization of investments and identification of strategic revenue opportunities
Python Microsoft Excel Microsoft Powerpoint Cloud computing

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Master in Data Science and Artificial Intelligence
Université Paris-Dauphine
2023
Master mention Bien. Bourse d’excellence obtenue avec l’institut PRAIRIE (PaRis Artificial Intelligence Research InstitutE)
Double Bachelor's Degree in Mathematics and Computer Science
Université Paris-Saclay
2020
Double Licence mention Bien

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Raphael C.

Data Scientist

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