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Nirmal Pregassame

AI Research Engineer & Data Scientist

Moves to Lyon, Paris, Grenoble

  • 45.7346
  • 4.8731
Propose a project The project will only begin when you accept Nirmal's quote.
Propose a project The project will only begin when you accept Nirmal's quote.

Location and geographical scope

Lyon, France
Can work in your office at
  • Lyon 8e Arrondissement and 50km around
  • Paris and 50km around
  • Grenoble and 20km around


Project length
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months
Company size
  • 1 person
  • 2 - 10 people
  • 11 - 49 people
  • 50 - 249 people
  • 250 - 999 people
+2 autres




Skills (30)

Nirmal in a few words

♦ 15 ans d'expérience en R&D, ingénierie, semi-conducteurs, IoT, codage (Python, Tcl) et analyse et management de données.
♦ Expertise en IA, analyse des donées et visualisation: Algorithmes ML/DL, Power-BI, Spark, JSON, Excel, CSV
♦ Expérience de travail dans un environnement multiculturel (Irlande, USA, France, Italie, Inde, ...): maitrise couramment l'anglais et le français (langue maternelle)
♦ Double Master en Intelligence Artificielle (IA): Machine Learning (ML), Deep Learning (DL) et en Electronique.
♦ 14 years of experience in R&D, engineering, IoT, coding (Python, Tcl), data management, and analytics.
♦ Expert in AI, data analysis and visualization: ML/DL algorithms, Power-BI, Spark, JSON, Excel, CSV
♦ Experience in working in a multicultural environment (Ireland, USA, France, Italy, India, …): fluent in English, French (native speaker)
♦ Dual Masters degree in Artificial Intelligence (AI) Machine Learning (ML), Deep Learning (DL), and Electronics.


World Health Organization

Health, Wellness & Fitness

Data Specialist (data analyst & data science)

Geneva, Switzerland

May 2021 - Today

emlyon business school - EM Lyon

Education & E-learning

Machine learning assistant teacher and researcher

Lyon, France

February 2021 - April 2021


Public sector

International Volunteer

January 2021 - March 2021

► Develop comprehensive ontology for SDGs ( Sustainable Development Goals) vocabularies.
¤ Enable semantic bridge between SDGs entities
¤ Classify government publication, policy briefs, academic literature, CSR report
► Literature review and analysis of the methodologies
► Analyze purpose, scope, and feasibility
► Implementation using various tools and technique

CHU Limoges

Medical field

AI Researcher and Data Scientist

Limoges, France

January 2020 - September 2020

2 external recommendations

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