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Michelle AlmakariMA

Michelle Almakari

Data Analyst

€300/day
Paris, FR
0-2 years

Average response time: 1 hour

About Michelle

Highly motivated researcher with expertise in Python, SQL, and machine learning. Experienced in data analysis, feature engineering, statistical modeling, and deriving actionable insights from complex datasets. Skilled in data visualization, scientific communication, and mentoring. Seeking a Data Scientist role to apply analytical and research skills.
  • Arabic

    Native or bilingual

  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Basic

Can work on-site
Paris (up to 50km)

Experience

  • CNRS / Ecole Normale Supérieure,
    Geophysical Data Analyst
    January 2021 - December 2023 (2 years and 11 months)
    Paris, France
    • ● Led quantitative modeling projects, data processing, and statistical analysis
    • ● Developed and implemented custom Python scripts and algorithms for data processing
    • ● Performed feature engineering and prepared datasets for machine learning models
    • ● Mentored 1 PhD and 2 Master's students
    Python Data analysis Data visualisation Communication Numerical modeling
  • IPGP,
    Teaching Assistant (Master 2)
    September 2018 - July 2022 (3 years and 10 months)
    Paris, France
    Taught Geo-mechanics / Seismology course to Master 2 level students.
    Supervised student's research projects.
    Communication Mentoring Teaching
  • MINES ParisTech,
    Research Assistant (PhD Program)
    October 2016 - December 2019 (3 years and 2 months)
    Paris, France
    Developed numerical models of induced seismicity
    Generating and analyzed large datasets to understand underlying physical processes
    Numerical modeling Data analysis Data visualisation Communication Data processing

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Education

  • IBM Data Science Professional Certificate
    Coursera
    2023
    IBM Data Science Professional Certificate
  • PhD in Earth Sciences
    MINES ParisTech, PSL University
    2019
    PhD in Earth Sciences

Skill set

Categories