medaminebouali

medAmineBouali

@medAmineBouali

Followers

Following

Public Repos

Private Repos

Language Breakdown

Lines of code distribution across 40 owned repositories

4.7M Total LOC

Jupyter Notebook

3,289,820 lines

69.4%

N/A

TypeScript

373,630 lines

7.9%

N/A

293,231 lines

6.2%

N/A

Python

198,254 lines

4.2%

N/A

PHP

114,882 lines

2.4%

N/A

Other

467,790 lines

9.9%

N/A

I-Shaped Developer

I-shaped

Specialist — deep expertise in Jupyter Notebook

Jupyter Notebook

TypeScript

Python

PHP

Collaboration Network

Global Impact visualization

LIVE

0 active collaborators

Repos

PRs

Growth

+18%

Top Collaborators

No collaborator data yet.

Coding Streak

Contribution activity over the past year

2 days

Contributions

Commits

Pull Requests

Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun

Based on GitHub activity

Less

Followers 4

Iz-Amine

@Iz-Amine

I-L-Y-E-S

@I-L-Y-E-S

laila abouche

@LAILAABOUCHE

hicham

@HichamLuffy

Following

5 total

Iz-Amine

@Iz-Amine

Mouad Rarhib

@mouadrarhib

Oussama Elalouaoui

@0UDINE

I-L-Y-E-S

@I-L-Y-E-S

hicham

@HichamLuffy

Synced via GitHub

Top Repositories

Citi-Bike-Logistics-Optimization-via-Predictive-Data-Engineering

A data pipeline resolving Citi Bike inventory imbalances by integrating historical CSVs and real-time GBFS feeds. Built with Azure Functions, Databricks, PySpark, and Delta Lake. Features ML for demand prediction and Tableau/Power BI dashboards for tracking logistical KPIs and optimizing bike redistribution.

0 0

Jupyter Notebook

Conception-d-un-Pipeline-Data-Engineering-sur-Azure-avec-Databricks-et-Power-BI

Pipeline Data Engineering Cloud pour le Retail. Ingestion via Azure Data Factory, stockage Data Lake (Architecture Medallion), et transformations distribuées (Bronze/Silver/Gold) avec Databricks (Spark). Dataviz sous Power BI.

0 0

Jupyter Notebook

Football-Data-Engineering-avec-PySpark

Pipeline Data Engineering PySpark pour analyser les performances de la Bundesliga (2000-2015). Ingestion, transformations complexes (Window Functions), stockage Parquet partitionné et dataviz Power BI.

0 0

Industrialisation-du-Pipeline-ELT-avec-Docker-et-Airflow

Pipeline Data Engineering YouTube : ETL orchestré par Airflow sous Docker, stockage PostgreSQL et transformation analytique industrialisée.

0 0

Python

Construction-d-un-Data-Warehouse-Bronze-Silver-Gold-

End-to-end SQL Data Warehouse using Medallion Architecture. Features automated ETL from CSV (Bronze/Silver) to a Logical Gold layer with Star Schema.

0 0

TSQL

YouTube-data-ingestion-and-transformation-pipeline-for-decision-making-analysis

End-to-end YouTube data pipeline using the YouTube Data API v3. Extracts, transforms, and structures video data into an analytical dataset, then visualizes insights in Power BI, simulating a real-world ETL workflow.

0 0

Jupyter Notebook

Optimisation-et-analyse-des-performances-des-campagnes-marketing-

Analyse et optimisation de campagnes marketing. Projet data de bout en bout : EDA et tests statistiques sous Python (Pandas, SciPy), suivis d'une modélisation et d'un dashboard interactif sous Power BI pour évaluer l'impact.

0 0

Jupyter Notebook

Statistiques-Appliques-et-Analyse-de-Donn-es

Objectifs PédagogiquesFondamentaux : Expliquer la moyenne, la médiane, le théorème central limite et les distributions de probabilités (Normale, Poisson, Student, etc.)

0 0

Jupyter Notebook

Advanced-HR-Data-Modeling-KPIs-Interactive-Dashboards

0 0

Exploration-et-Analyse-des-Donn-es-de-Facturation-Hospitali-re-avec-SQL

Analyse d'une base de données hospitalière relationnelle. Ce projet simule le cycle complet du patient (soins, facturation, assurance, ajustements) via un schéma en étoile (1 table de faits, 8 dimensions). Utilisation intensive de SQL pour extraire des insights sur les revenus, la conformité (credentialing) et la démographie patient.

0 0

Open Source Impact

Contributions to external projects

2 merged PRs

nouresho/Pr-diction-du-prix-des-billets-d-avion

Contributed to 1 repositories