Freelancer profile translated to English.

Description

Data Analyst | BigQuery | Looker Studio | Google Sheets Automation

Specializing in transforming data into business performance levers, I help companies structure, analyze, and leverage their data.

With a degree in Data Science and operational experience at Alinéa, I work across the entire data value chain: data extraction and validation (SQL, BigQuery), modeling (dbt), process automation (Python), and design of decision-making dashboards (Power BI, Looker Studio).

My goal: to provide reliable, actionable analyses that can be directly used by business teams (marketing, finance, supply chain, operations).

Languages

English
Native or bilingual

Workplace preferences

Can work on-site

Marseille (up to 50km)

Alinea
Client Data Analyst
RETAIL (SMALL BUSINESS)
September 2024 - Today (1 year and 9 months)
Aubagne, France
⋄ Monitoring and optimization of commercial performance: weekly analysis of revenue, traffic, conversion rates, average basket size, evaluation of operations (promotions, key events) and proposals for corrective actions.
⋄ Design and automation of dashboards on Looker Studio via dbt for real-time monitoring of commercial, marketing, and customer performance.
⋄ dbt modeling of loyalty program benefits by automating attribution and consumption logic through incremental strategies and flux historization.
⋄ Design of a Machine Learning churn predictive model, based on optimized SQL data extractions, to identify at-risk profiles and trigger targeted retention campaigns.
⋄ Dynamic segmentation and RFM (Recency, Frequency, Monetary) analysis of customers to identify high-value segments and personalize activation and loyalty strategies.
BigQuery SQL Machine Learning Python Looker Studio
Junior DataAnalyst Club
Data Analyst
CONSULTING AND AUDITS
September 2023 - May 2024 (8 months)
Marseille, France
⋄ Cleaning, structuring, and improving the quality of datasets related to electric charging station usage, to ensure the reliability of analyses and performance indicators.
⋄ Performing exploratory analyses on the availability and performance of the charging station network (usage rate, saturation, peak periods) to identify areas and times of high demand.
⋄ Analysis of charging station usage behavior (frequency, occupancy duration, geographical distribution) by cross-referencing operational data with territorial data from INSEE.
⋄ Data exploitation using Python and GeoPandas geo-analysis libraries to produce spatial analyses and visualizations facilitating decision-making.
Python QGIS Data Analysis Data Visualization API
YASSIR
Data Scientist Intern
TRANSPORTATION
February 2022 - August 2022 (6 months)
Alger, Algeria
⋄ Predictive modeling of imbalances using Machine Learning algorithms to anticipate supply and demand gaps and identify areas at risk of undercapacity.
⋄ Correlation analysis and Feature Engineering of key variables (seasonality, weather, historical events) to refine the accuracy of flow predictions.
⋄ Geographical segmentation and clustering of market behaviors to adapt forecasting models to local specificities and demand variations.
⋄ Performance evaluation and Backtesting of models to measure the reliability of predictions against actual data and ensure continuous score improvement.
Python SQL Machine Learning Data Cleaning Data Visualization