Freelancer profile translated to English.
Back to original languageAbout Thomas
Hello, I hope you are well!
If you are looking for a profile capable of transforming your data into value, you are in the right place.
I am a technical Data Analyst, capable of supporting you on all your data projects and issues:
- Automation of your processes
- Integration of AI solutions into your workflows
- Migration and structuring of your data
- In-depth analysis and reporting
- Creation of clear and impactful visualizations
- Machine Learning (clustering, forecasting, modeling)
With my experience, I have worked on the entire data value chain, from collection to exploitation, which allows me to intervene transversally and effectively.
My goal is to provide you with robust, automated, and ready-to-use solutions, so that your data becomes a real decision-making lever.
Looking forward to discussing your projects,
Thomas
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 30km)
Experience
- CATALINASenior Expert PythonE-COMMERCEMarch 2023 - Today (3 years and 3 months)- Use of AI for database migration (rewriting according to new schemas)- Technical support for data analysts (architecture, debugging, optimization)- Training analysts in Python- Development and optimization of Python scripts- CI/CD management and maintenance- Process automation via Rundeck- Maintenance and evolution of the internal toolkit
- VeepeeData analystE-COMMERCEApril 2021 - Today (5 years and 2 months)Paris, France- Automation of tasks with python and scala scripts (spark)- Implementation of data transformation pipelines to make data available to operational teams- Ad hoc analyses
- GymlibData AnalystSPORTSOctober 2020 - March 2021 (6 months)Paris, France- Dashboards- Clustering- Data migration to a data lake (ETL + SQL)- Python script for data formatting
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Education
- Master in International Banking and FinanceHigher Institute of Economics and Management2016- Marchés Financiers - Gestion Financière - Droit des entreprises - Fusion et Acquisition
- Data AnalystNational School of Statistics and Economic Administration and OpenClassRoom2020- Apprendre à coder en Python - Apprendre l'utilisation du langage SQL - Nettoyage des données - Data Mining - Clustering par Classification ascendante hiérarchique, K-means et K-nearest neighbors - Analyse en composantes principales (Définir le lien entre les variables et individus) - Prédiction par Régression linéaire, Régression logistique et Anova - Prédiction par le modèle Holt-Winters, SARIMAX et LSTM (Deep Learning)