À propos de Abdelahad
As a highly skilled PhD holder in Operations Research and Decision Support, with over 8 years of experience leading projects and teams of Data Scientists, Statisticians, and Developers at LAMIH, Alicante and Enedis, I have developed innovative OR and AI solutions to assist industrials in overcoming their daily challenges. I take pride in the impact my work has had on the targeted industry.
Throughout my career, I have demonstrated my expertise by presenting my research to the international scientific community, highlighting the relevance of the approaches I have developed and the quality of the results I have obtained. I am now seeking new opportunities to continue to grow and learn, and I believe that my extensive experience in leading teams and delivering results would make me a valuable asset to any organization that values innovation, teamwork, and a results-driven approach.
As I seek new opportunities to continue to grow and learn, I believe that my extensive experience in leading teams and delivering results would make me a valuable asset to any organization that values innovation, teamwork, and a results-driven approach.
I am excited about the prospect of connecting with new colleagues and exploring new possibilities together. If you would like to discuss how my skills and experience can contribute to the success of your organization, please don't hesitate to contact me.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Arabe
Bilingue ou natif
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- AlicanteData-Scientist, Head of Data-LabSECTEUR MÉDICALjuillet 2018 - mai 2023 (4 ans et 11 mois)59810 Lesquin, FranceAlicante is a company working in the innovation and healthcare fields to propose practical uses and solutions for patients and healthcare professionals using cutting-edge technologies to help them create value from the data they produce.At Alicante, I managed and developed various AI and statistics projects focused on medical data using a CRISP-DM approach, resulting in numerous achievements, including:
- Developed an NLP-based system for the automatic CIM-10 coding of hospital stays, utilizing ML and DL techniques, resulting in a 95% accuracy rate and significant time savings for medical staff.
- Designed and implemented a time series forecasting model to predict and monitor COVID-19 indicators, enabling healthcare professionals to make informed decisions and take timely actions.
- Conducted research and developed an anomaly detection system for drug prescriptions, leveraging reinforcement learning techniques to improve pharmacovigilance.
- Structured and formatted raw text using NLP methods to improve the synthesis and anonymization of patient data, enhancing patient privacy and security.
- Led the development and implementation of a patient profiling and care pathway monitoring system, utilizing statistical analysis and ML techniques to optimize patient care and outcomes.
- Supervised a PhD student and several engineering interns, providing them with mentorship and guidance to develop their skills and successfully contribute to our projects.
- Successfully published multiple scientific papers on various topics related to healthcare and AI, such as the prediction of length of stay and complications related to hospitalization.
Through these projects, I have honed my skills in AI, statistics, and data analysis, while gaining extensive experience in the healthcare domain.Skills: Algorithm Development - Scikit-learn - Predictive Analytics - Data Engineering - Docker - R - Java - Git - Python - SQL - Report Writing - ML - DL - NLP - RL - Health Information Technology - Time Series - Data Analysis - Statistics - Data Visualization - Artificial Intelligence - INSA Hauts-de-FranceData Science InstructorEDUCATION & E-LEARNINGseptembre 2019 - juillet 2021 (1 an et 10 mois)59300 Valenciennes, FranceTaught essential Data Science and programming skills, including Python, Java, Scala, C, and Algorithmics to a diverse group of computer science studentsOversaw the successful implementation of End-to-End Machine Learning projects, providing guidance and technical support as neededMentored and advised students on career paths in the data field, helping them discover their full potential and confidently chart their futures
- LAMIH - Polytechnic University of Hauts-de-FranceR&D EngineerLOGISTIQUE & SUPPLY CHAINjanvier 2016 - juillet 2018 (2 ans et 6 mois)59300 Valenciennes, FranceLAMIH is a multidisciplinary laboratory and a recognized research player in the fields of transport and mobility: non-polluting vehicles, intelligent transport, driving assistance, eco-driving, lightening of structures, transport logistics, mobility for all and intelligent mobility.During my time at LAMIH, I was responsible for conceiving and developing industrial models to support decision-making in various supply chain contexts. Some of the notable achievements include:
- Optimizing the location of electric vehicle charging stations, which involved developing a mathematical model to determine the optimal placement of charging stations and minimizing the cost of installation.
- Developing optimization and simulation models for the vehicle routing problem with inventory management, which helped reduce transportation costs and improve inventory management.
- Optimizing the planning of surgical operations in a stochastic environment, which involved developing a simulation model to predict the duration of surgical procedures and the number of procedures that can be performed in a day, helping hospitals improve their efficiency and reduce wait times.
- Scheduling preventive maintenance for industrial equipment using a predictive maintenance approach, which involved developing a mathematical model to predict equipment failure and scheduling maintenance activities to prevent unplanned downtime.
- Optimizing the layout of manufacturing facilities using simulation and optimization techniques, which helped reduce material handling costs and improve production efficiency.
These projects required a high level of technical expertise and problem-solving skills, as well as the ability to communicate effectively with stakeholders and team members. Through my contributions, I was able to achieve significant results such as reducing costs and increasing efficiency in supply chain operations.Skills: Algorithm Development - Supply Chain Optimization - Mathematical Modeling - CPLEX - SQL - Operational Research - Java - C++ - Metaheuristics
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Formations
- PhD in Operation Research and Decision Support,Jean Monet University2015During my PhD, I focused on the development of mathematical and AI models to improve the arrangement of blocks in a medico-technical platform and optimize the flow of resources to facilitate access to healthcare. Some of the notable projects I worked on include: * Used MILP (Mixed Integer Linear Programming) to develop mathematical models to optimize the arrangement of blocks in a medico-technical platform, resulting in a more efficient use of space and resources. * Conceived a Multi-Agent System approach to solve the block arrangement problem as a multi-task formulation, improving the speed and accuracy of the solution. * Developed heuristics and metaheuristics to solve large and real-life problems, resulting in faster and more practical solutions for optimizing the flow of resources in healthcare.