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Amina ZamounAZ

Amina Zamoun

Professional Coach & Engineer

€1,000/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Amina

How to progress in your professional career when you are ambitious, while having a fulfilling personal life?

This is exactly the subject I love to discuss with my clients!

My name is Amina Zamoun, I am a statistician engineer by training and after nearly 4 years in data science, I am also a professional coach today.

► We often think that professional life and personal life are to be distinguished and that we cannot have everything. I find this profoundly false.
We are one and the same person. Thus, being fulfilled in our professional life will positively influence our personal life, and vice versa. The only way to help an employee develop their full potential is to support them in their entirety.

► Coaching allows us to get to know ourselves better, to ask ourselves the right questions in order to break down our own barriers. The goal? To feel better, overcome our fears and blockages, improve our personal and professional quality of life, and a fortiori, become a better professional and a better leader.
► It's a win-win for everyone, and we like that!

My key areas of intervention: Individual Coaching, Manager and Executive Coaching: combining training in leadership, management, communication, conflict management, etc. with coaching, Team Building, Conferences & Webinars, Creation and animation of training courses.

Looking forward to discussing with you,
Amina
  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • Ambitieuse Heureuse
    Professional Coach
    CONSULTING AND AUDITS
    January 2020 - Today (6 years and 5 months)
    Professional coach, specializing in Train Coaching, I help you to evolve in your career and find your life balance.
    Coaching Training
  • Cour d'Appel de Paris
    Head of the Statistics Office
    PUBLIC SECTOR
    January 2017 - July 2019 (2 years and 6 months)
    Région de Paris, France
    In charge of 72 jurisdictions
    Mission:
    • Conduct studies for magistrates based on judicial news
    • Produce steering tools (monthly dashboards and statistical reports) for Court and jurisdiction heads.
    • Quarterly analyze the activity of jurisdictions
    • Optimize data quality
    • Collaborate with the Ministry of Justice regarding the analysis of performance indicators (preparation of management dialogue)

    Modernization initiatives:
    • Modernize the data processing chain (collection, analysis, and reporting)
    → Design and build a relational database
    → Automate the production of monthly dashboards providing statistical indicators
    • Establish and lead a network of 30 statistical referents based in the jurisdictions
    → Create and organize training to upskill statistical referents and make them autonomous
    → Lead evolution projects according to the needs of the jurisdictions
    Data Science Statistics Data Analysis Team Management Project Management Communication
  • L'Oréal
    Data Scientist - R&I - Advanced Research
    FASHION AND COSMETICS
    June 2016 - September 2016 (4 months)
    Build and implement a Bayesian meta-analysis to classify treatments by effectiveness by defining performance classes.
    • Define the project with clinicians (international work with French and Indian clinicians)
    • Data management and descriptive statistics
    • Determine statistical indicators and performance classes
    • Implement Bayesian meta-analysis & determine the probability for each treatment to belong to each performance class
    • Communicate with clinicians to ensure the relevance of the classes and adjust them if necessary
    • Write a report providing a decision support tool and present the project to the team.

    Complementary work:
    • Comparison of results between different populations
    • Creation of a tool to use Bayesian analysis in other types of studies ✓ Technical environment: SAS & R
    Data Science Data Analysis Communication

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Education

  • Engineering degree
    National School of Statistics and Information Analysis
    2016
  • Bachelor's degree in Mathematics
    University of Rennes I
    2015
    En parallèle de L'ENSAI

Skill set (15)

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