Clément Besoin
Data Scientist | Fashion and Retail Analytics
Who I Am
I'm a data scientist based in Milan, Italy, with a background in applied mathematics and machine learning.
My work focuses on developing practical data-driven solutions for business challenges. I've worked on fraud detection systems, market analysis models, and forecasting applications. Currently, I'm particularly interested in applying these skills to the fashion and luxury industry, where data science can drive innovation and efficiency.
I enjoy collaborating with both technical and business teams to translate complex data insights into actionable strategies.
Please find my resume below
A detailed overview of my professional experience, education, and skills
Professional Summary
Data scientist with more than 2 years of experience developing and deploying practical, data-driven solutions to support business decisions.
Comfortable working with both technical and non-technical teams, and skilled at communicating insights clearly. Particularly interested in applying data science to the fashion and luxury industry.
Professional Experience
Data Scientist – AI and Quantum Solutions
Milan, IT
G2Q Computing
May 2023 - Current
- Designed a machine learning and optimization engine for real-time fraud detection with parallel batch processing, reducing false positives by 20%
- Built and deployed a time series model to better understand market trends, which led to a 15% increase in investment ROI
- Developed a graph neural network model that improved weather forecasting accuracy by 10% by capturing non-local patterns
Junior Data Scientist – Internship
Siegen, DE
eleQtron
June 2022 – September 2022
- Implemented a CNN-based classification model into the quantum data pipeline for image analysis, reducing readout errors by 25%
- Used likelihood-based anomaly detection to flag mislabeled samples, improving data quality and boosting model performance by 18%
- Packaged and automated the image classification system, increasing processing speed by 40% and reducing manual review
Education
Master's degree – Quantum Engineering (M2)
Paris, FR
Centrale Paris
September 2022 – May 2023
Master's degree – Applied mathematics
Nancy, FR
Mines Nancy
September 2020 – May 2022
CPGE – MPSI / MP
Nancy, FR
Lycée Henri Poincaré
September 2018 – August 2020
Skills
Programming & Data Analysis
Programming Languages
Data Analysis
Machine Learning & AI
ML Frameworks
AI Applications
Data Visualization & Tools
Visualization
Development Tools
Big Data & Cloud
Big Data
Cloud Platforms
Languages
English
FluentFrench
NativeItalian
ProfessionalSpanish
ProfessionalReady to Work Together?
Let's discuss how data science can transform your fashion or luxury business.
Get in Touch