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Azuriee/README.md

👋 Bonjour, je suis Alexandra

⚙️ Analytics Engineer | Data Analyst (Modern Data Stack)

🚀 À propos

Je suis Analytics Engineer / Data Analyst, spécialisée dans la Modern Data Stack.
J’aide les équipes à transformer leurs données en modèles fiables, pipelines automatisés et analyses actionnables.

Je travaille au croisement de :

  • Engineering → pipelines Python, ELT, automatisation
  • Modélisation analytique → dbt, tests, documentation, data marts
  • Data warehousing → BigQuery, Snowflake
  • Analytics → SQL avancé, visualisation, ML supervisé (scikit-learn)

J’aime organiser la donnée, améliorer sa qualité, documenter clairement, créer des datasets stables et rendre la data accessible aux équipes métier.

🧰 Tech Stack

Power BI

🛠️ Compétences

🔧 Analytics Engineering

  • dbt (modèles staging → intermediate → marts)
  • Tests, documentation, sources, exposures
  • Data modeling (star schema, Kimball-light)
  • Data lineage & data governance
  • ELT (Modern Data Stack)

🗄️ Data Engineering / Warehousing

  • BigQuery
  • Snowflake
  • Pipelines Python (ingestion, transformation, automatisation)
  • API, orchestration légère
  • Airflow (bases)

📊 Data Analysis & BI

  • SQL avancé (CTE, window functions, optimisation)
  • Python : pandas, nettoyage, exploration
  • Visualisation Python : Plotly, Matplotlib
  • BI : Looker Studio, Power BI, Tableau (en cours)
  • Analyse marketing, sales, finance, customer success

🤖 Machine Learning (niveau analyste / AE)

  • scikit-learn : régression, classification, preprocessing
  • Feature engineering
  • Évaluation : train/test, métriques, cross-validation

🌿 Soft Skills

  • Communication & vulgarisation
  • Rigueur, structuration, documentation
  • Autonomie, curiosité, adaptabilité

📬 Me contacter

  • GitHub : @Azuriee

✨ Analytics Engineer / Data Analyst — Modern Data Stack (SQL, dbt, BigQuery, python). ✨

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  1. ai-vs-human-customer-support ai-vs-human-customer-support Public

    Customer service KPI analysis (CSAT, speed, cost, resolution rates) comparing AI chatbots and human agents. Full MDS pipeline with dbt modeling and Looker Studio dashboard.

    1

  2. Ecommerce-marketing-analytics-dbt Ecommerce-marketing-analytics-dbt Public

    Data modeling project using dbt to unify marketing and sales data for an e-commerce use case. Includes staging, intermediate and finance marts with tested, documented models.

    1

  3. Gym-Churn-Prediction- Gym-Churn-Prediction- Public

    Analyse exploratoire d’un dataset de salle de sport pour comprendre les facteurs liés au churn des membres.

    Jupyter Notebook

  4. Earth-s-Temperature-Change-over-800-000-years---Python Earth-s-Temperature-Change-over-800-000-years---Python Public

    Climate data analysis project exploring global temperature evolution over 800,000 years. Includes dataset merging, correlation analysis, linear regression and visualizations (Python, pandas, plotly).

    Python 1