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Khalil NegrichiKN

Khalil Negrichi

Data scientist, data engineer

€400/day
Lille, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Khalil

Experienced engineer and certified data scientist / data engineer, with over 10 years of experience in the industrial and R&D sectors.

I combine sharp expertise in predictive maintenance and data analysis with solid field experience in reliability, availability, maintainability, and safety (RAMS) management of complex systems.

✅ Core Expertise:

Development of predictive maintenance algorithms to anticipate failures and optimize planning.

Analysis and exploitation of data from connected equipment (IoT, sensors, industrial systems).

Design and deployment of solutions on rolling stock and industrial equipment.

Implementation and optimization of preventive, corrective, and condition-based maintenance plans.

🛠️ Technical Stack (Data Science & Data Engineering):

Python (OOP, Data Science), FastAPI, Airflow, Docker, Kubernetes, PySpark, SQL, Scikit-learn, TensorFlow, Keras, spaCy, BeautifulSoup, Matplotlib, Seaborn, Plotly


🎓 Recent Training:

Data Engineer Certification – MINES Paris & DataScientest (2024)

Data Scientist Certification – MINES Paris & DataScientest (2023)

PhD in Industrial Engineering (Grenoble INP, 2015)

💡 My added value: I build bridges between data science and industrial maintenance to help companies transform their data into performance levers, reduce their operational costs, and improve the reliability of their strategic equipment.
  • French

    Native or bilingual

  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Rosier SA,
    Maintenance, Reliability, Inspection Engineer
    May 2024 - Today (2 years and 1 month)
    Moustier, HT, Belgium
    Develop and improve efficient preventive maintenance plans. Establish a maintenance schedule to be executed at predetermined intervals or according to criteria to reduce the probability of failure or degradation of machinery.
    Plan, in conjunction with the maintenance manager and production managers, interventions and programs during daily or weekly technical shutdowns.
    Maintain and develop a data collection system to improve equipment reliability. Ensure information is transmitted and a culture of reliability is built among all maintenance stakeholders.
    Supervise the preparation, planning, coordination, execution, and reporting of periodic inspections required. Be able to identify breakdowns and malfunctions of installations and determine corrective actions, as well as technical improvements. Identify and be able to respond to emergency situations. Effectively manage interfaces with production departments, the design office, and manage subcontracted personnel on site.
    Ensure HSE rules are always integrated into the planning of maintenance operations.
    Algorithmics Python
  • Faiveley Transport NSF
    Condition-Based Maintenance Manager, Data Science Referent
    May 2021 - April 2024 (3 years)
    Neuville-en-Ferrain, France
    Referent on data science topics applied to railway maintenance.
    Responsible for analyzing data collected by connected rolling stock and developing predictive maintenance algorithms to anticipate failures and optimize maintenance operation planning.
    Development and implementation of predictive maintenance methods and approaches within the framework of research and development projects on new generation rolling stock. Analysis of the Life Cycle Cost (LCC) of railway systems and identification of opportunities for condition-based maintenance (CBM) and predictive maintenance.
    Study, selection, and integration of new sensors on existing systems to improve their maintenance.
    Design of CBM and predictive maintenance algorithms for various railway systems (HVAC, door systems, diesel engines...). Participation in maintenance reviews and implementation of the CBM monitoring process. Updating maintenance plans to integrate CBM and predictive maintenance activities.
    Participation in technical meetings with clients and consideration of their feedback up to final project validation.
    Data science Python Docker Airflow FastAPI
  • Faiveley Transport NSF,
    Reliability, Availability, Maintainability, Safety, and Integrated Logistic Support Manager
    July 2017 - April 2021 (3 years and 10 months)
    Neuville-en-Ferrain, France
    Define preventive and corrective maintenance plans. Define spare parts stock.
    Ensure maintenance demonstrations and validate the maintainability and safety performance of air treatment equipment. Propose and implement optimizations for the Life Cycle Cost (LCC) of equipment. Prepare technical documents necessary for equipment maintenance (maintenance manual, illustrated parts catalog, troubleshooting guide...).
    Analyze the reliability, availability, maintainability, and safety performance of air treatment equipment.
    Prepare reliability (FMEA, reliability study...) and safety (safety case, risk analysis...) analyses for air treatment equipment. Estimate the Life Cycle Cost (LCC) associated with equipment maintenance.
    Participate in meetings with the mechanical design office to improve design for the optimization of air treatment equipment maintainability. Manage and validate outsourced studies with suppliers. Monitor operating equipment and its performance. Manage a team of collaborators (internal or external).
    Python Scikit-learn Web Scraping Data visualisation

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Education

  • Data Engineer
    MINES Paris Executive Education & DataScientest
    2024
    Data Engineer
  • Data Scientist
    MINES Paris Executive Education & DataScientest
    2023
    Data Scientist

Certifications

Skill set

Categories