Freelancer profile translated to English.

Description

Certified PSPO I PO & Data Engineer Freelancer. I help SMEs and Startups structure their raw data to make it a real growth lever. My added value? A dual technical and business profile to audit your processes, automate your time-consuming tasks, and deliver clear, reliable, and directly actionable steering dashboards.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Lille (up to 50km)

Haulogy
Business Consultant
SOFTWARE PUBLISHING
June 2025 - September 2025 (3 months)
Paris, France
Context: Deployment and optimization of complex billing software for the publisher's clients.

Missions:
Key intermediary role and needs translation between business clients and tech development teams.
Modeling and implementation of standardized processes to streamline tool deployment.
Optimization of internal workflows on the publisher's side
Product Ownership Project Management SaaS Software Process Mapping
elmy
Head of B2C Electricity Operations
ENERGY AND UTILITIES
January 2024 - April 2025 (1 year and 3 months)
Lille, France
Context: Emergency stabilization and improvement of B2C billing following a major migration to a new billing engine.
Missions:
Audit, analysis, and correction of massive data anomalies resulting from the migration
Design of new workflow control processes and deployment of a proactive alerting system
Scoping and integration of new features to manage consumption deviations
Management and facilitation of agile rituals for a team of 3 operators
Results: Spectacular recovery of the billing rate, from 40% to 99% in just 6 months.
Data Quality Alerting SQL Python Product Ownership
elmy
Data Scientist
ENERGY AND UTILITIES
March 2022 - January 2024 (1 year and 10 months)
Lille, France
Context: Optimization of operational and financial decisions through predictive analysis.

Missions:
R&D, development, and production deployment of consumption forecasting models (B2C/B2B)
Management of data projects related to renewable energy production forecasting (wind, photovoltaic)
Structuring of automated consistency checks to prevent consumption anomalies
Results: Deployment of high-performance models with a historically low error margin (MAPE < 7.5%).
Python Machine Learning Git Airflow Time Series