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Tom Calamai

Ingénieur intelligence artificielle

Remote from Paris

  • 48.8546
  • 2.3477
Propose a project The project will only begin when you accept Tom's quote.
Propose a project The project will only begin when you accept Tom's quote.

Location and geographical scope

Paris, France
Remote only
Works remotely most of the time


Project length
Would prefer:
  • ≤ 1 week
  • ≤ 1 month
Would prefer avoiding:
  • Between 3-6 months
  • ≥ 6 months
Business sector
Would prefer avoiding:
  • Hospitality
  • Human Resources





Skills (10)

Tom in a few words

Passionné de tech, et plus particulièrement d'IA, je travaille aujourd'hui comme data scientist chez Amundi.
Ma formation d'ingénieur m'a donnée des bases solides en mathématiques et en informatiques (python). J'ai pu ensuite approfondir ces compétences au cours de 3 stages : en data science chez wedoogift, en data engineering chez Axa singapore et enfin actuellement en ingénieur quant chez Amundi.
J'ai une forte capacité d'analyse, des connaissances solides en traitement des données avec pandas, ou encore en machine learning (tensorflow, scikit-learn, ...)



Banking & Insurance

Ingénieur quantitatif

Paris, France

April 2021 - Today (5 months)

Building a fund manager behavioral analysis tool :
- Automatize behavior analysis through data analysis and machine learning
- Building analytical tools with python
Python Pandas Asset managment Time series analysis Machine learning Artificial Intelligence

Axa - AXA

Banking & Insurance

Data engineer intern

Singapour, Singapour

November 2019 - April 2020 (4 months)

Building and deployment of AXA data processing system as part of
the migration process.
• understand current SAS scripts
• build new python scripts that transform data and support all
operation in Singapore.
• extensive use of Pandas and Jupyter



Data scientist intern

Paris, France

May 2020 - November 2020 (5 months)

Explore and develop machine learning solutions for several projects
such as demand forecasting or fraud detection.
• Python code prototyping for data algorithms
• Production of documentation and reports on my results,
progress presentation to tech and non-tech audiences
• Extensive use of pandas, matplotlib, scikit-learn and sagemaker
(AWS) for machine learning.
As first full-time member of the data science team, I had to be autonomous.
I also helped to organize and structure processes.

External recommendations

Check out Tom's recommendations