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

Python R SQL

Data Analysis

Pandas NumPy EDA

Machine Learning & AI

ML Frameworks

Scikit-learn TensorFlow PyTorch Keras

AI Applications

NLP Computer Vision Transformers

Data Visualization & Tools

Visualization

Matplotlib Seaborn Tableau Streamlit

Development Tools

Git Docker Excel

Big Data & Cloud

Big Data

PySpark Data Pipeline

Cloud Platforms

AWS Cloud Computing

Languages

English

Fluent

French

Native

Italian

Professional

Spanish

Professional

Ready to Work Together?

Let's discuss how data science can transform your fashion or luxury business.

Get in Touch