You're seeing this page as if you were . The main menu is still yours, though. Exit from immersion
Fatiha H.FH

Fatiha H.

Analytics engineer

400 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Fatiha

As an Analytics Engineer, I design reliable and scalable data infrastructures that help businesses get the most value from their data.
My goal is simple: to make sure everyone has access to clean, consistent, and analysis-ready data without struggling with technical complexity. I enjoy working at the intersection of engineering and analytics, translating business needs into concrete, sustainable, and useful solutions. If I can save analysts time, provide clarity to decision-makers, and build trust in the numbers for the whole team, then I’ve accomplished my mission.
  • Anglais

    Bilingue ou natif

  • Arabe

    Bilingue ou natif

  • Espagnol

    Notions

  • Français

    Bilingue ou natif

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • YSG
    Data Analyst
    octobre 2024 - janvier 2026 (1 an et 3 mois)
    Paris, France
    • • Designed and deployed decision-support dashboards to monitor IT equipment and infrastructure activities
    • • Optimized query performance and analytical models to improve data processing efficiency
    • • Developed and optimized complex SQL queries for data analysis and modeling
    • • Designed scalable and high-performance data models for Power BI reporting
    • • Built Python scripts to automate data processing, cleansing, and advanced analytics
    • • Documented data models, workflows, and business rules
  • AGEXIS
    Analytics engineer
    IMMOBILIER
    décembre 2022 - septembre 2024 (1 an et 9 mois)
    Paris, France
    - Collected and structured data from multiple sources.

    - Analyzed real estate market data using Python, Power BI, and SQL to identify investment opportunities.

    - Developed predictive models to target high-yield renovation opportunities, contributing to a 10% improvement in investment ROI.

    - Modeled and visualized real estate sector trends using Python and Power BI.

    - Created dynamic and interactive Power BI dashboards to visualize trends and support strategic decision-making.

    - Ensured the quality and reliability of real estate data using Python, Power BI, and SQL.

    - Organized and facilitated scoping and follow-up workshops to identify requirements, prioritize analyses, and validate deliverables.

    - Managed task prioritization and workflow to optimize workload and meet deadlines.

    - Supervised a team of 4, supporting their skill development in Python and Power BI.
    Python SQL Microsoft Power BI Microsoft Excel Analyse de données
  • Soft connect
    Analytics engineer
    TÉLÉCOMMUNICATIONS
    mai 2020 - septembre 2020 (5 mois)
    Agadir, Maroc
    - Extracted data from APIs and websites using Python.

    - Conducted in-depth analysis and leveraged the obtained data.

    - Provided recommendations for necessary adjustments in databases.
    Python Analyse de données MySQL

Recommandations

Soyez le premier à recommander Fatiha

Contribuez à la réussite de ce freelance en partageant votre expérience de collaboration avec lui.

Ces profils de freelance correspondent également à vos critères

AgathaA

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

2

BaptisteB

Baptiste Duhen

Fullstack developer

4.6

(4)

5

AmedA

Amed Hamou

Senior Lead Developer

4

(2)

7

AudreyA

Audrey Champion

Web developer

4.3

(3)

4

Formations

  • Diplôme d'ingénieur
    Ecole centrale d'électronique
    2024
    Academic program focused on Big Data and Artificial Intelligence, including ETL pipeline design, large-scale data processing, data mining, Machine Learning, Deep Learning, and Graph Analytics
  • Diplôme d'ingénieur en informatique
    INSA ROUEN NORMANDIE
    2021
    Skilled in algorithms, databases, and data science, with strong expertise in software development and architecture (Java, Python, C), operating systems, and applied statistics

Certifications

Compétences

Catégories