Freelancer profile translated to English.

Description

Data Engineer specializing in data analysis, structuring, and valorization, I help companies transform their raw data into concrete decision-making tools.

With a Master's degree in Mathematics and Computer Science applied to Data Science and Artificial Intelligence, I work across the entire data value chain: collection, cleaning, transformation, modeling, analysis, and reporting. My approach combines analytical rigor, business understanding, and the production of useful deliverables for operational teams.

During my experiences, I have designed Power BI dashboards for KPI monitoring, automated data processing from multiple sources, performed statistical analyses, and developed Python solutions tailored to specific needs. I have also worked on machine learning topics, forecasting, classification, and text data analysis.

What sets me apart is my ability to go beyond simple dashboards or models. I am primarily interested in data quality, its structure, its consistency, and how it can meet a specific business need. Whether it's creating decision-making reports, automating analyses, ensuring data reliability, or developing custom data solutions, my main goal is to add value.

Key skills: Python, SQL, Power BI, data analysis, machine learning, automation, data visualization, KPI, statistical modeling.

Available for remote work, I am open to projects in data analysis, business intelligence, reporting, process automation, and custom data solution development.

Do you have a need related to your data, your indicators, or your analysis tools? Let's discuss your project.

Languages

French
Native or bilingual
English
Basic
Spanish
Basic

Workplace preferences

Remote only

Primarily works remotely

Sogetrel
Data Analyst / Business Analyst
TELECOMMUNICATIONS
September 2023 - September 2025 (2 years)
Pérols, France
As part of my experience at Sogetrel, I worked on the exploitation, validation, and valorization of operational data from multiple sources to improve activity management and decision support.

I designed and developed over 10 Power BI dashboards for monitoring 37 KPIs related to production, quality, inventory, workload, and overall activity management. These reports improved data readability, performance tracking, and business team decision-making.

I also implemented data collection, cleaning, transformation, and structuring processes, particularly from SQL Server, SharePoint, Excel files, and operator databases. This work allowed me to automate certain data flows and ensure the reliability of analyses on large volumes related to field interventions.

In parallel, I developed advanced Python analyses focusing on anomaly detection, activity forecasting, and business data exploration. I worked on machine learning approaches to model operational issues, especially in classification, forecasting, and text data analysis, with a particular focus on data quality, result interpretation, and business utility.

This experience allowed me to strengthen my mastery of Power BI, SQL, and Python, as well as my ability to transform complex data into clear, usable, and decision-oriented deliverables.
Python Microsoft Power BI SQL KPI Definition and Monitoring KPI Dashboards
Ensis Academie
Data Analyst
SOCIAL NETWORKS
April 2023 - September 2023 (5 months)
Montpellier, France
Analysis, cleaning, and structuring of data from multiple sources to produce reliable information for decision support.

In this role, I worked on exploiting various datasets to meet concrete management and performance needs. I performed data preparation, exploratory analysis, and visual reporting to better track key indicators.

Specifically, I designed Power BI reports and dashboards for KPI monitoring, focusing on selecting relevant indicators, structuring data, and formatting clear visualizations for users. The goal was to facilitate activity management through clear, dynamic, and directly usable tools.

In parallel, I developed a Python tool for sales teams, based on the shortest path algorithm, to optimize travel and improve operational organization. This work involved data manipulation, algorithmic logic, and adapting the solution to a specific business need.

This experience allowed me to strengthen my ability to work on multiple dimensions of a data project: collection, preparation, analysis, visualization, and development of decision support tools. It also taught me to connect technical aspects with business challenges to produce useful, understandable, and results-oriented deliverables.
Python Microsoft Power BI Machine Learning Data Analysis Business Intelligence
Université Laval , Quebec , Canada
Data Scientist / Data Analyst
PUBLIC SECTOR
February 2022 - August 2022 (6 months)
Laval, Canada
In this role, I worked on analyzing banking transactional data to identify behaviors, detect significant events, and produce relevant variables for modeling.

I exploited and structured large volumes of transaction data to better understand observed behaviors and identify signals useful for analysis. This work involved data preparation, cleaning, exploration, and transformation phases, with a particular focus on data quality, consistency, and interpretation of information.

I also participated in the development of machine learning approaches for behavior classification and event detection, using variables built from transactional habits. This experience allowed me to work on feature selection, statistical analysis, model evaluation, and result interpretation using metrics such as precision, recall, and F1-score.

Additionally, I contributed to a data valorization initiative, seeking to transform raw data into actionable insights to address specific problems. This mission strengthened my ability to combine analytical rigor, business understanding, and data modeling.

This experience allowed me to consolidate my skills in Python, SQL, data analysis, machine learning, and data processing, while developing a methodical approach to data, from preparation to model evaluation.
Python SQL Machine Learning Data Analysis Pandas