Freelancer profile translated to English.

Description

Project Manager for Industrialization turned Analytics Engineer: 13 years of field experience in cosmetics + Bac+5 degree in data. Specializes in creating decision-making tools that generate real operational impact by leveraging in-depth knowledge of business constraints and data quality and structuring challenges.

Languages

French
Native or bilingual
English
Conversational

Workplace preferences

Remote only

Primarily works remotely

Liora
Data Analyst - Training Project
EDUCATION AND E-LEARNING
December 2024 - July 2025 (7 months)
Saint-Cloud, France
Analysis and prediction of response times for London fire brigades
Context: Modeling intervention times for London's emergency services using 15 years of historical data
(2.4M interventions)
Tasks: Data cleaning and multi-source aggregation • Feature engineering (Euclidean distances,
cyclical time encoding) • Predictive model development by classification
Tools: Python (Pandas, Scikit-learn), Jupyter, Git
Results: Identification of distance as the main predictor • Deployable model with 85% accuracy • Actionable
insights for operational optimization
Python Data Analysis Data Visualization Machine Learning
Liora
Data Product Manager - Training Project
EDUCATION AND E-LEARNING
June 2025 - September 2025 (3 months)
Saint-Cloud, France
Proposal for data-based functional improvement for Abritel
Context: Data-driven functional improvement to address customer satisfaction issues
Tasks: Discovery (personas, BMC) • Prioritization of 5 pain points • Design of MVP for host confidence index
• KPIs and roadmap
Tools: Product Vision Board, Product Data Canvas, prioritization frameworks
Results: Structured 6-phase roadmap • Multi-criteria prioritization validated • Iterative MVP (3 phases) •
Monitoring and GDPR compliance plan defined
Project Management Product Vision MVP
Liora
Analytics Engineer
EDUCATION AND E-LEARNING
June 2025 - November 2025 (5 months)
Saint-Cloud, France
ETL/ELT Project - Cryptocurrency Market Analysis
Context: Design of a complete data pipeline for digital asset market analysis
Tasks: Multi-source API ingestion • Cloud Data Lake/Warehouse architecture • 3-layer transformations •
Decision-making dashboards
Tools: Python, Snowflake, dbt, Git, Power BI
Results: Scalable pipeline with tests • Optimized star schema • Operational dashboards
Python Data Analysis SQL Microsoft Power BI DBT