Abdelfattah Abouelaoualim

HPC, AI, Big Data, Cloud

Paris, France

  • 48.8546
  • 2.34771
  • Rate On demand
  • Experience 7+ years
  • Response rate 100%
  • Response time 24h
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Available later

Until 2/12/2021

Preferences

Work location
Only do the missions remotely

Verifications

  • Verified email

Skills (41)

Abdelfattah in a few words

I specialize in modern techniques that combine machine learning and graph theory: Graph Learning, Graph Embedding, Graph Representation, Spectral Graph Convolutions, Convolutional Graph Network, Knowledge Graph, NLP, Computer Vision,... The purpose of these techniques is to exploit the fact that often the data (texts, images,...) are linked. These techniques consist in making a first model of the problem in the form of a graph and then the second modeling in machine learning on the generated graph. Naturally, these techniques find their applications in the fields of human resources, social networks, organizations, telecommunications, transport, pharmaceutical industry, disease outbreak, recommender systems, financial markets, cybersecurity,... More and more, data are becoming linked, which means that machine learning on graphs is the future of artificial intelligence.

I am certified as an architect in Hybrid Cloud Infrastructure with Anthos and have more than 11 years of experience in IT as an R&D engineer. In particular, I spent more than 8 years in the hardware department of Bull, the only manufacturer specializing in the design of supercomputers and data centers in Europe. My knowledge of hardware, firmware and HPC (high-performance computing) gives me a great ease with Big Data infrastructure (distributed architectures, on-prem or in the cloud: AWS, GCP, AZURE) and a very good knowledge of new parallelization and pipeline technologies for data and computing such as the Apache Foundation projects (Hadoop, Spark, Kafka, Airflow...).

Portfolio

Experience

July 2019 - November 2019 | Boulogne-Billancourt, France

Human Resources

Talentsoft- Groupe Talentsoft

Data Scientist

•Visualized and detected employees, teams, and leaders in social networks.
•Detected conflicts, events, anomalies, and opportunities in organizational networks.
•Predicted employees who will leave the company.
•Detected/Recommended communities (experts, helpers, etc.).
•Developed an applicant tracking system.

Education

  • Mastère Spécialisé Big Data: gestion et analyse des données massives

    Télécom Paris

    In Progress

    I obtained a Ph.D. in graph theory in 2007 from the University of Paris-Saclay. My thesis subject was to explore algorithmically and topologically the existence of patterns in edge-colored graphs. I also have a master's degree in operational research, optimization, and combinatorics from ENSIMAG, one of the best engineering schools in computer science and applied mathematics in France. In 2019, I got a specialized master's degree in "big data: management and analysis of massive data" from Télécom Paris, the best engineering school in digital technologies in France. Currently, I'm preparing the International Certificate in Corporate Finance at HEC Paris business school.

Certifications

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