Freelancer profile translated to English.

Description

Do you have manual reporting, a dashboard to automate, a Python script to make reliable, or a process that still relies too much on copy-pasting and repetitive tasks?

I design simple and reliable data solutions to automate these issues: KPI dashboards, recurring reports, Python/SQL scripts, file processing, quality controls, API connections, Make/n8n workflows, or custom internal tools.

I have a Data Analyst / Data Scientist profile, with hands-on experience in automating reports, dashboards, Python/SQL processing, data quality, and decision support.

I currently address concrete needs:

Automating reporting from files, databases, CRM/ERP exports, APIs, or internal tools;
Creating or improving a KPI dashboard;
Cleaning, structuring, or controlling data;
Developing Python or SQL scripts to automate processing;
Taking over, correcting, or improving an existing Python script;
Transforming a local script into a structured tool with Flask, FastAPI, a simple interface, or an internal API;
Connecting tools via API, Make, or n8n;
Creating an internal tool to reduce copy-pasting, scattered files, and manual tasks;
Integrating AI into a workflow when it provides real value: sorting, summarizing, classifying, controlling, or generating reports, with human validation when necessary.

My goal is to deliver clear, robust solutions that can be used by teams.

I also developed RGAnalyzer, a SaaS that transforms CSV/Excel sales files into ready-to-present business reports: KPIs, charts, customer/product analysis, data quality control, and PDF, Excel, and PowerPoint exports.

This project reflects my way of working: understanding business needs, ensuring data reliability, automating what can be automated, and delivering a simply usable solution.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Freelance
Data Analyst, Reporting & Automation
October 2024 - Today (1 year and 8 months)
Rouen, France
Design and development of business-oriented data solutions: automation of reports, KPI dashboards, Python/SQL processing, data quality control, API connections, and simple internal tools.

I address concrete needs: automation of recurring reports, reliability of files or data flows, creation of dashboards, taking over existing Python scripts, fixing unstable processes, and structuring local scripts into cleaner tools with Flask, FastAPI, a simple interface, or an internal API.

Data sources can be varied: Excel/CSV files, CRM/ERP exports, databases, APIs, Google Sheets, internal tools, or recurring flows.

I also work on business workflows with Make, n8n, Python, or APIs: automatic sorting, report generation, alerts, document classification, preparation of files, or automation of repetitive tasks.

I also developed RGAnalyzer, a commercial reporting SaaS that transforms CSV/Excel sales files into ready-to-present reports with KPIs, charts, quality control, and PDF, Excel, and PowerPoint exports.
Python Automation Reporting Dashboard SQL
Freelance
Data Prototypes, Reporting & Automation
October 2024 - October 2024
Development of prototypes and internal projects around concrete use cases: automation of reports, indicator tracking, file analysis, information extraction from documents, automatic sorting, alerts, report generation, and structuring of recurring processes.

These projects allowed me to work on several reusable components in different business contexts:

Data processing and structuring with Python;
Analysis of CSV/Excel files and business exports;
Creation of actionable indicators and visualizations;
Automation of repetitive tasks;
Extraction, sorting, and classification of information from documents or emails;
Generation of reports, work files, or summaries;
Connection between tools via API, Make, n8n, or custom scripts;
Occasional integration of AI components to sort, summarize, qualify, or control information.

This work formed the basis for more advanced solutions, including RGAnalyzer, as well as various business workflow prototypes adaptable to different needs: opportunity qualification, administrative tracking, internal purchasing, document classification, reporting, or file preparation.
Python Automation Data Engineering Machine learning Data Analysis
RTE International
Data Scientist / Python Developer
DIGITAL AND IT
January 2021 - October 2024 (3 years and 9 months)
Development of data solutions and predictive models in Python for the analysis and forecasting of climate data within international energy projects.
In-depth work on statistical modeling and time series to anticipate long-term trends and feed decision-support processes.

Design, maintenance, and improvement of automated processing pipelines (Python, SQL) for the collection, transformation, and reliability of data from multiple sources.
Processing large volumes of data, implementing consistency checks, and optimizing processing performance.

Development of dedicated internal tools for the analysis and response to international tenders: automated document search, extraction and structuring of technical information from heterogeneous corpora.

Close collaboration with data, business, and technical teams in an international context, with high demands for quality, traceability, and robustness of deliverables.
Data science Machine learning Statistical modeling Data Quality Time Series