About Ali
Ali Attajer has a Ph.D. in automatic production and industrial engineering. He also holds an Engineering Degree in Industrial Engineering. His research interests are resilience in intelligent production systems.
He worked on several projects related to data science such as :
- Study and optimization of ship queuing: prediction of port availability, ship arrival law, optimization of port operations.
- Optimization model for vehicle routing and demand forecasting using machine learning.
- Gathering and cleaning of the data collected from the accelerometers from the Samsung Galaxy S smartphone using R.
- Creating a Shiny application and a web page presentation using R Markdown that features a plot created with Plotly and hosting the webpage on either GitHub Pages, RPubs, or NeoCities.
- Creating prediction algorithm and Shiny app in a way that would be understandable to a non data scientist manager.
- Building a smart keyboard that makes it easier for people to type on their mobile devices. One cornerstone of their smart keyboard is predictive text models using the data collected by SwiftKey.
English
Fluent
French
Fluent
Arabic
Native or bilingual
Remote only
Primarily works remotely
Experience
- Institut Universitaire de Technologie (IUT) department QLIOTemporary Teaching and Research AssistantEDUCATION AND E-LEARNINGSeptember 2022 - August 2023 (1 year)Valenciennes, FranceTemporary Teaching and Research Assistant at the Institut Universitaire de Technologie (IUT) in the Quality, Industrial Logistics and Organization (QLIO) department. And researcher on Intelligent Production Systems and Automatic Control within the department of the LAMIH UMR 8201 laboratory of the CNRS and the Université Polytechnique Hauts-de-France (UPHF).
- FONDATION ECOLE CENTRALE CASABLANCAR&D ENGINEEREDUCATION AND E-LEARNINGOctober 2018 - August 2022 (3 years and 11 months)Casablanca, Morocco- Contribution to the research activities of the Thematic Teaching and Research Unit "UTER Industriel Engineering" within the "Complex Systems and Interactions" Research Center.- Design and development of a control architecture based on active, intelligent, and autonomous products, compatible with existing information systems (ERP, MES) and decision support systems (Business Intelligence), and capable of ensuring greater agility and resilience to disruptions and operational risks, particularly related to maintenance and quality engineering problems using the technologies of industry 4.0.- Teaching activities.
- GROUP OCP JORF LASFARPROJECT GRADUATIONRAW MATERIALS INDUSTRYFebruary 2018 - June 2018 (4 months)El Jadida, MoroccoDigitalization and optimization of the process of ship’s loading planning at the Laâyoune Wharf and the Jorf Lasfar port: Predicting future ships arrival, wharf availability periods and the sojourn time.
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Education
- Industrial EngineerMohammadia school of engineers20182015 - 2018 : Cycle ingénieur à l'Ecole Mohammadia d’Ingénieurs Génie industriel Section : Ingénierie de projets. 2013 - 2015 : Classes préparatoires Lycée Moulay Idriss Fès -Option MP- 2013 : Baccalauréat Sciences Mathématiques B Mention Très Bien.
- Doctor of Engineering (DEng), Automatic ControlPolytechnique Hauts-de-France University2022Thesis project: Design and development of a distributed control architecture to improve operational resilience in cyber-physical production systems.
Certifications
- Data ScienceJohns Hopkins University2020
- IBM data science with pythonIBM2021