Oussama - Data Scientist BIG DATA
Ref : 211011B003-
Domicile
75016 PARIS
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Profil
Data Scientist (31 ans)
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MobilitéTotalement mobile
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StatutBientôt freelance
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Tarif Journalier MoyenVoir le tarif
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R&D Data Engineer
TotalEnergies, Nano-INNOVJan 2021 - aujourd'huiBuild and operationalize data processing systems
- Create and manage a cloud infrastructure for geospatial data
- Build econometrics and ml modules
- Build a data ingestion pipeline
Engie, Paris, ******** - Common Data Hub Data Engineer -
Intern Lead Data Scientist/Engineer
Davidson, ParisJan 2020 - Jan 2021Common Data Hub is the collaborative datalake of the engie group
which allows different entities to store, share their data and create value
via transformation, dashboarding and machine learning tools.
Team of 9 developers, 150TB of stored data, 1200 Users, 40 Countries.
Davidson, Paris— Intern Lead Data Scientist/Engineer -
Jan 2020 - Jan 2020
- Help facilitate software quality measures - TDD, Peer Review,
continuous integration and unit test
- Development of data analytics models, e.g. predictive models for
industrial assets, based on cutting-edge machine learning and
artificial intelligence techniques
- Building data pipelines for production systems at large scale
- Contributed meaningful improvements to existing machine learning
model through carefully directed research
- Productize and automate machine learning, model tuning and
deployment -
Cloud Data Engineer
Canon France, ParisJan 2020 - Jan 2020Training and deploying an ML model as microservice on GCP for digital
transformation of business processes:
- Detect and extract text from structured and unstructured data.
- Document classification (Cloud AutoML)
- Knowledge extraction from structured sources. -
Data Engineer
Air Liquide Healthcare, ParisJan 2019 - Jan 2019- Collecting data from iot devices
- REST API design, development and management
- Managing MongoDB database -
Data Scientist
Davidson, ParisJan 2018 - Jan 2019- Build Deep Learning generative model (Seq2Seq)
- Install and configure a MongoDB server
- Use recurrent neural networks for named entity recognition and POS
- Apply post-processing to generated answers by consuming external APIs
CERTIFICATIONS
Professional Data Engineer (Google Cloud Platform):
- Design data processing systems
- Build and operationalize data processing systems
- Operationalize machine learning models
- Ensure solution quality
Associate Cloud Engineer (Google Cloud Platform):
- Set up a cloud solution environment
- Plan and configure a cloud solution
- Deploy and implement a cloud solution
- Ensure successful operation of a cloud solution
- Configure access and security
TensorFlow Developer Certificate (Google):
- Building image recognition, object detection, text recognition algorithms with
deep neural networks and convolutional neural networks
- Using real-world images in different shapes and sizes to visualize the journey
of an image through convolutions to understand how a computer “sees”
information, plot loss and accuracy
- Exploring strategies to prevent overfitting, including augmentation and
dropouts
- Applying neural networks to solve natural language processing problems
using TensorFlow
HONOURS & AWARDS
- Laureate Award (highest score in Class), Higher Institute of Management of
Tunis, Academic year 2016-2017.
- Laureate Award (highest score in Class), Faculty of economics and
management of Nabeul, Academic year 2014-2015.
- Laureate Award (highest score in Class), Faculty of economics and
management of Nabeul, Academic year 2013-2014.
- Finalist in the Generation Machine Learning Competition organized by
HSBC, Société générale, et Sia Partners 2018
EDUCATION
Master 2 Informatics and Intelligent Systems (ISI) with a
specialization in Data Science
Université Paris Dauphine Sep-2017 Mar-2018
• Deep Learning/ Reinforcement Learning
• Supervised/unsupervised learning/ multi agent system
• Algorithms, Systems and Paradigms for BigData
Master of Science in Modeling with a specialization in forecasting
Higher Institute of Management of Tunis Sep-2015 Jul-2017
• Decision Making Techniques and Tools
• Simulation/ Optimization/ Time series analysis
• Data-Mining & Statistical Machine Learning
Professional Data Engineer (Google Cloud Platform):
- Design data processing systems
- Build and operationalize data processing systems
- Operationalize machine learning models
- Ensure solution quality
Associate Cloud Engineer (Google Cloud Platform):
- Set up a cloud solution environment
- Plan and configure a cloud solution
- Deploy and implement a cloud solution
- Ensure successful operation of a cloud solution
- Configure access and security
TensorFlow Developer Certificate (Google):
- Building image recognition, object detection, text recognition algorithms with
deep neural networks and convolutional neural networks
- Using real-world images in different shapes and sizes to visualize the journey
of an image through convolutions to understand how a computer “sees”
information, plot loss and accuracy
- Exploring strategies to prevent overfitting, including augmentation and
dropouts
- Applying neural networks to solve natural language processing problems
using TensorFlow
HONOURS & AWARDS
- Laureate Award (highest score in Class), Higher Institute of Management of
Tunis, Academic year 2016-2017.
- Laureate Award (highest score in Class), Faculty of economics and
management of Nabeul, Academic year 2014-2015.
- Laureate Award (highest score in Class), Faculty of economics and
management of Nabeul, Academic year 2013-2014.
- Finalist in the Generation Machine Learning Competition organized by
HSBC, Société générale, et Sia Partners 2018
EDUCATION
Master 2 Informatics and Intelligent Systems (ISI) with a
specialization in Data Science
Université Paris Dauphine Sep-2017 Mar-2018
• Deep Learning/ Reinforcement Learning
• Supervised/unsupervised learning/ multi agent system
• Algorithms, Systems and Paradigms for BigData
Master of Science in Modeling with a specialization in forecasting
Higher Institute of Management of Tunis Sep-2015 Jul-2017
• Decision Making Techniques and Tools
• Simulation/ Optimization/ Time series analysis
• Data-Mining & Statistical Machine Learning
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