Fatima Zahra LAHLOU
Enseignant at Centre CIGMA - FST Settat- Claim this Profile
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Bio
Ilias Jennane
Fatima Zahra is highly skilled and highly educated Software Engineer. Her easy going personality makes her among the best developers I have ever worked with. She led a critical project, and highly visible for one of most important customers, learned the required technology in no time and produced an outstanding quality product. I would welcome the opportunity to work with Fatima Zahra again.
Ilias Jennane
Fatima Zahra is highly skilled and highly educated Software Engineer. Her easy going personality makes her among the best developers I have ever worked with. She led a critical project, and highly visible for one of most important customers, learned the required technology in no time and produced an outstanding quality product. I would welcome the opportunity to work with Fatima Zahra again.
Ilias Jennane
Fatima Zahra is highly skilled and highly educated Software Engineer. Her easy going personality makes her among the best developers I have ever worked with. She led a critical project, and highly visible for one of most important customers, learned the required technology in no time and produced an outstanding quality product. I would welcome the opportunity to work with Fatima Zahra again.
Ilias Jennane
Fatima Zahra is highly skilled and highly educated Software Engineer. Her easy going personality makes her among the best developers I have ever worked with. She led a critical project, and highly visible for one of most important customers, learned the required technology in no time and produced an outstanding quality product. I would welcome the opportunity to work with Fatima Zahra again.
Credentials
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Deep Learning Specialization
Coursera Course CertificatesJul, 2022- Oct, 2024 -
Sequence Models
Coursera Course CertificatesJul, 2022- Oct, 2024 -
Convolutional Neural Networks
Coursera Course CertificatesJun, 2022- Oct, 2024 -
Structuring Machine Learning Projects
Coursera Course CertificatesApr, 2022- Oct, 2024 -
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization And Optimization
Coursera Course CertificatesJan, 2022- Oct, 2024 -
Neural Networks and Deep Learning
Coursera Course CertificatesApr, 2019- Oct, 2024 -
The Data Scientist’s Toolbox
Coursera Verified CertificatesNov, 2015- Oct, 2024 -
Introduction to Recommender Systems
Coursera Verified CertificatesDec, 2013- Oct, 2024 -
Machine Learning - via Coursera.org
Stanford University
Experience
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Centre CIGMA - FST Settat
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Morocco
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Professional Training and Coaching
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1 - 100 Employee
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Enseignant
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May 2019 - Present
Taught lessons: June 2021 - Deep Learning (DL Fundamentals - CNN). June – July 2020 - Deep Learning (DL Fundamentals - CNN - RNN Introduction). May – June 2019 - : Social Network Analysis. Taught lessons: June 2021 - Deep Learning (DL Fundamentals - CNN). June – July 2020 - Deep Learning (DL Fundamentals - CNN - RNN Introduction). May – June 2019 - : Social Network Analysis.
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Dakae Tech
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Software Development
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1 - 100 Employee
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Co-Founder, Machine Learning Trainer
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Apr 2019 - Jan 2021
Machine Learning Professional IT Training (Supervised Machine Learning, - Introduction to Deep Learning - Introduction to Recommender Systems) Machine Learning Professional IT Training (Supervised Machine Learning, - Introduction to Deep Learning - Introduction to Recommender Systems)
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Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS
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Morocco
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Higher Education
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1 - 100 Employee
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Ph.D on Computer Science & Machine Learning
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Jan 2012 - Dec 2019
Research Team: Information Retrieval and Data Analytics Very honorable distinction with congratulations from the jury. • Supervisor: Dr. Houda Benbrahim (houda.benbrahim@um5.ac.ma) • Areas of Study: Recommender Systems, Context Aware Recommender Systems, Text Mining, Machine Learning. • PhD Thesis: Review Aware Recommender Systems: Leveraging users’ reviews to produce context aware recommendations. • Research Projects: • Deep study of Recommender Systems algorithms and Context Aware Recommender Systems algorithms, with focus on Factorization Based algorithms; • Experimental studies on using Text Classification Techniques to infer contextual information from users' reviews; • Developing a new architecture for inferring automatically context from reviews and incorporate it into recommendation calculation. This architecture uses “Word2Vec” and “K-means” algorithms in order to extract contextual information from textual reviews, and “Factorization Machines” algorithm in order to efficiently incorporate obtained context into recommendation computation . • Developing Textual Context Aware Factorization Machines (TCAFM) algorithm, a new Context Aware Recommender Systems algorithm, based on “Factorization Machines”, and tailored for the case where context is derived from text. Keywords: Recommender Systems, Context Aware Recommender Systems, Machine Learning, Text Mining, Factorization Machines. Show less
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Freelancer Drupal Programmer/Analyst
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Jan 2010 - May 2011
Design and build e-business web site in freelance. Design and build e-business web site in freelance.
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Casanet SA, Filiale de Maroc Telecom
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Morocco
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IT Services and IT Consulting
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100 - 200 Employee
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Software Engineer
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Feb 2009 - Jan 2010
Design and Implementation of the portal for school life management "Escolarite" on behalf of the Ministry of National Education. Used technologies: Dot Net 3.5, Dynamic Data, SQL Server 2008 Design and Implementation of the portal for school life management "Escolarite" on behalf of the Ministry of National Education. Used technologies: Dot Net 3.5, Dynamic Data, SQL Server 2008
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Stage de fin d'études
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2008 - 2008
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Education
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Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS
Ingénieur d'Etat, Science Engineering, Software Engineering focus -
Lycée Mohamed 5, Casablanca
Preparatory Classes for Higher Schools, Mathematics and Physics