Freelancer profile translated to English.
Back to original languageAbout Nicolas
Freelance Data Scientist with 5 years of experience, passionate about developing and deploying artificial intelligence models.
Graduated from Supélec with a specialization in machine learning and applied mathematics, I also hold a Master's degree in fundamental and applied mathematics from the University of Lorraine.
After my studies, I had my first academic experience at the Singaporean research laboratory A*STAR, where I worked on deep learning models applied to image recognition.
I then worked as a consultant at Quantmetry, a consulting firm specializing in data science and artificial intelligence, for 5 years. I worked in various sectors (industry, biomedical, finance, retail, ...) and on a wide range of topics (predictive maintenance models, image and video classification, recommendation engines, ...)
The diversity of the projects I had the opportunity to lead allowed me to handle the entire data value chain, from the framing and design of data architectures to the deployment of advanced machine learning models in constrained production environments.
I occasionally work as a trainer (Big Data, Data Science, Python) in academic institutions (CentraleSupélec, Ecole des ingénieurs de la ville de Paris) as well as in companies.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Paris (up to 100km)
Experience
- Decathlon FranceSenior Data EngineerMay 2021 - February 2025 (3 years and 9 months)Paris, FranceDecathlon is one of the world's largest sporting goods retailers, offering a wide range of products and equipment across numerous sports categories.In the Data Business Unit (~500 persons), I worked in the Data Factory team, in charge of managing the data platform.My main missions were:Migrating processing jobs on from the former data plattform (Redshift / Talend) to the new one (Spark / Databricks / Airflow) Streamlining and standardizing the technical stack of the data platform, focusing on software engineering, processing, CI/CD, and orchestration tools. Defining and promoting best practices (code quality, development patterns, development and deployment processes, CI/CD workflows, etc.). Developing code templates for Decathlon's main data processing technologies: Spark, Scala, DBT, Python, Airflow, etc. Templates used by all teams in the BU (More than 600 projects instantiated) Maintaining the processing and orchestration platforms (Databricks, Airflow MWAA) and offering support for the main technologies (Spark, Airflow, Python) Leading the training and technical onboarding of data engineers (designing and delivering technical training sessions on Spark, Airflow, dbt, as well as functional training on the data platform overview)Technical stack: AWS (s3, MWAA, Glue, Redshift, Lambda, ECR, CodeArtifact, EKS)• Databricks• Apache Spark (Pyspark)• Airflow• Docker• Data Build Tool (DBT)• Python• SQL• Bash• GitHub• Github actions
- Yotta AcademyData & ML Engineering InstructorJanuary 2020 - February 2022 (2 years and 1 month)Paris, FranceYotta Academy offers high-value training solutions in the AI sector, designed by data scientists and data engineersExperienceI was an instructor for the following course: Apache Spark• MLOps
- TheofficersWeb Developer - Technical LeadJanuary 2021 - June 2021 (5 months)Paris, FranceDesigning, developing and deploying the solution Managing a development team (2 developers)Technical stack: Python• Google Cloud Platform (GCP)• Vue.js• Nuxt.js• Django• Docker• Kubernetes• GitLab CI/CDWeb Developer - Technical LeadTheofficers01/2021 – 06/2021 PARIS, FRANCEThe Officers is a Paris-based company specializing in fully serviced and managed office spaces, offering flexible, turnkey solutions that include amenities such as cleaning, catering, and security, all tailored to meet clients' operational needs. I was the technical lead and backend developer.Technical stack: GCP, Python (Django), Gitlab CI/CD, Vue.js, Nuxt.
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Education
- Supélec Engineering Degree, Applied Mathematics specializationCentraleSupélec2014Majeure SIR (Systèmes interactifs et robotiques) : mathématiques appliquées, intelligence artificielle, apprentissage numérique, traitement du signal, problèmes de décisions dans l'incertain
- Master 2 Fundamental and Applied MathematicsUniversité de Lorraine2014Diplôme cohabilité par Supélec.Domaines : Calcul stochastique, Probabilités appliquées, Equations aux dérivées partiellesSujet de mémoire : Etude d'un algorithme d'entrainement de réseaux de neurones profonds (mention bien)