Mohammed Asloune

PhD Researcher in Energy Forecasting - UMR CNRS 6134 SPE at Université de Corse Pascal Paoli
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Contact Information
us****@****om
(386) 825-5501
Location
Ajaccio, Corsica, France, FR
Languages
  • English Full professional proficiency
  • French Native or bilingual proficiency
  • Arabic Native or bilingual proficiency
  • Italian Elementary proficiency

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Philibert Dutrieux

Mohammed consistently impressed us with his dedication to his work and his ability to effectively handle the challenges that arose throughout his internship . His understanding of project management principles, as well as his capacity to execute tasks efficiently, played a crucial role in the success of several projects during his tenure. In addition to his project management skills, Mohammed showcased a strong aptitude for utilizing digital tools and technology to streamline processes and improve overall productivity. He quickly adapted to our digital systems, demonstrating a keen ability to harness technology to enhance workflow, data analysis, and communication. One of Mohammed's most valuable attributes is his adaptability. He proved to be a quick learner, readily embracing new tools and techniques to ensure optimal results. His ability to pivot when needed and continuously improve his digital competencies was greatly appreciated by our team. Mohammed Asloune's work ethic, commitment to excellence, and ability to navigate the complexities of project management, coupled with his agility in the digital realm, make him a valuable asset to any organization. He is not only a dependable team member but also a proactive problem solver who thrives in dynamic environments.

Hugo CHAPELLE

Je recommande vivement Mohammed tant pour ses qualités techniques que pour son savoir être. En effet son adaptabilité, sa rigueur et son dynamisme font de lui un véritable atout au sein d’une équipe.

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Credentials

  • Data Science : Machine Learning
    Harvard University

Experience

    • France
    • Higher Education
    • 200 - 300 Employee
    • PhD Researcher in Energy Forecasting - UMR CNRS 6134 SPE
      • Oct 2023 - Present

      - Energy Forecasting: Deterministic and probabilistic forecasting, diagnostics, and scoring assessment. - Application of Microgrids: Utilizing forecast outputs to enhance performance of microgrids, tested on the Paglia Orba platform. - Energy Forecasting: Deterministic and probabilistic forecasting, diagnostics, and scoring assessment. - Application of Microgrids: Utilizing forecast outputs to enhance performance of microgrids, tested on the Paglia Orba platform.

    • France
    • Automation Machinery Manufacturing
    • 700 & Above Employee
    • Energy Enhancement Project Lead
      • Oct 2022 - Oct 2023

      - Energy Management: Optimizing industrial energy efficiency. - Energy Tracking: Designing tools for energy consumption tracking and anomaly detection. - Forecasting Tools: Using Machine Learning to develop models predicting future energy needs. - Energy Management: Optimizing industrial energy efficiency. - Energy Tracking: Designing tools for energy consumption tracking and anomaly detection. - Forecasting Tools: Using Machine Learning to develop models predicting future energy needs.

    • Côte d'Ivoire
    • Renewable Energy Semiconductor Manufacturing
    • 1 - 100 Employee
    • Hydrogen Initiative Coordinator
      • Feb 2022 - Sep 2022

      - RE-Hydrogen Coupling: Exploring renewable energy and hydrogen synergies. - Hydrogen Projects: Crafting sustainable hydrogen strategies. - Tender Management: Streamlining tender creation and alignment. - RE-Hydrogen Coupling: Exploring renewable energy and hydrogen synergies. - Hydrogen Projects: Crafting sustainable hydrogen strategies. - Tender Management: Streamlining tender creation and alignment.

Education

  • CESI
    Post-Master, Industrial Energy Efficiency
  • Università di Corsica Pasquale Paoli
    Doctor of Philosophy - PhD, Energy Forecasting, Machine Learning
  • Ecole d'Ingénieurs Paoli Tech
    Master of Engineering - MEng, Energy
  • ESTEM
    Preparatory classes, Mathematics and Computer Science

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