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Imaneimy/README.md

Imane Moussafir

Data & BI Engineer

Projects

Repository What it does Stack
etl-pipeline-testing PySpark ETL pipeline with schema validation, business rules, and XRAY-format test cases PySpark, Pytest
datalake-regression-tests Medallion architecture regression harness (Bronze→Silver→Gold) with a DataFrame comparator that detects schema drift PySpark, Pytest
sql-data-validation 20 SQL data quality checks (nulls, FK integrity, value ranges, business rules) with an HTML report Python, SQLite
anomaly-dashboard SQLite-backed anomaly tracker with a generated HTML dashboard — a lightweight JIRA/XRAY alternative Python, SQLite
retail-sales-analysis ETL + KPI analysis on retail sales data, segmented by category, region, age, gender Pandas, Matplotlib
sales-forecasting Monthly revenue forecasting with ARIMA — stationarity testing, seasonal decomposition, AIC order selection Statsmodels, Pandas
customer-segmentation-rfm RFM scoring + K-Means clustering on 400 customers — elbow method, silhouette, segment revenue breakdown Scikit-learn, Pandas
customer-churn-prediction Churn prediction with logistic regression — feature encoding, evaluation, feature importance Scikit-learn, Pandas

Stack

Languages: Python, SQL
Data: Pandas, NumPy, PySpark
ML: Scikit-learn, Statsmodels
BI: Power BI, DAX, Power Query
Testing: Pytest, pytest-cov
Databases: PostgreSQL, MySQL, SQLite

Background

  • Orange Maroc (Feb–Aug 2025) — built 15+ Power BI dashboards for procurement KPIs and supplier performance; automated Excel/Power Query reporting pipelines
  • EMSI — Engineering degree in Computer Science & Networks (MIAGE), specialized in Data Engineering and BI
  • Self-studying ML/DL through Scikit-learn, Keras, and hands-on projects

LinkedIn

Pinned Loading

  1. anomaly-dashboard anomaly-dashboard Public

    Test anomaly tracker for Big Data projects — JIRA-inspired ticket management with HTML dashboard and SQLite backend

    Python

  2. datalake-regression-tests datalake-regression-tests Public

    Regression test suite for a Medallion Datalake architecture Bronze/Silver/Gold — schema drift, row count and statistical comparisons

    Python

  3. etl-pipeline-testing etl-pipeline-testing Public

    ETL pipeline testing suite with PySpark and Pytest — schema validation, business rules, unit and integration tests

    Python

  4. sql-data-validation sql-data-validation Public

    SQL data quality checks on a DataMart with automated HTML and CSV reporting — nulls, uniqueness, FK integrity and business rules

    Python

  5. customer-segmentation-rfm customer-segmentation-rfm Public

    Customer segmentation using RFM scoring and K-Means clustering — elbow method, silhouette score, segment revenue breakdown. 400 customers, 2800+ transactions.

    Python

  6. sales-forecasting sales-forecasting Public

    Monthly sales forecasting with ARIMA — stationarity testing, seasonal decomposition, AIC-based order selection. Inspired by procurement forecasting work at Orange Maroc.

    Python