About Me

I help teams turn reliable data into decisions they can act on: understanding the business challenge, making sure the data behind it is trustworthy, and drawing conclusions that hold up. A graduate of the Master's in Information Systems and Decision Making at the University of Lille, I recently completed an internship at Ubisoft, working at the crossroads of fraud, payment and product, where I implemented a solution generating an estimated €100K in annual savings.

My Journey

My bachelor's degree in economics taught me to think in business terms: costs, risks, trade-offs. Specializing in data afterwards didn't take me away from the business side: it gave me the means to follow the reasoning through to the end. What motivates me is the full process: starting from a business question, making sure the data answering it is reliable and well understood, then drawing conclusions a decision-maker can actually use. That translator role between business and technical teams is exactly what I practiced at Ubisoft, working across fraud, payment, product and data teams.

Experience

Jan. · Jul. 2026

Data & Fraud Analyst · E-commerce & Payments · Internship

Ubisoft International · Saint-Mandé

  • Designed and implemented a solution generating an estimated €100K in annual savings, streamlining the fraud review process and improving operational efficiency.
  • Led the analysis of Product Discoveries representing an estimated €XXM business impact, leveraging fraud and business KPIs to identify opportunities and support data-driven product decisions.
  • Presented findings and strategic recommendations to senior leadership and key stakeholders, translating complex fraud analyses into actionable business decisions.
  • Led an analysis of the relationship between key fraud metrics, chargeback and block rates, to assess their predictive potential, anticipate financial risks and inform anti-fraud strategy.
  • Implemented and optimized fraud detection rules and controls across several payment service providers (e.g. Stripe, PayPal, Ebanx), directly challenging PSPs on the inconsistencies identified.
  • Analyzed large volumes of transactional data across product, payment and customer behavior, and improved monitoring tools and dashboards to strengthen data reliability and optimize fraud KPIs.
  • Collaborated cross-functionally with Payment & Fraud teams, Product Owners and Data & ML Engineers, from user story writing to Agile ceremonies, to improve detection and prevention processes.

Result: Sharper fraud detection, fewer false positives and chargebacks, and a direct contribution to significant financial savings and improved key business KPIs.

SQL Python Snowflake Databricks Datadog Tableau Power BI Excel JIRA MIRO Accertify
Jun. · Jul. 2025

Business Analyst · Freelance

Invoicing automation

  • Analyzed business requirements and mapped the existing invoicing process to identify automation priorities.
  • Designed and developed VBA macros covering the full invoicing cycle: client management, product catalog and automatic invoice generation.
  • Built an intuitive user interface allowing non-technical users to operate the solution independently.
  • Testing, debugging and deployment of the solution into production.

Result: −70% manual errors, significant time savings on the monthly invoicing cycle.

VBA Advanced Excel Process Mapping Business Analysis UAT Stakeholder Management
May · Sep. 2023

Data Analyst · Internship

Les Moulins S.A · Morocco

  • Collected, structured and cleaned master data (orders, payments, B-to-B supplier records), ensuring its consistency and availability for business teams.
  • Identified and resolved data inconsistencies alongside operational teams, contributing to a reliable, shared reference dataset.
  • Designed and deployed real-time dashboards for logistics and financial monitoring (delivery times, stock levels, cash flows, supply chain KPIs).
  • Presented insights and recommendations to stakeholders to support data-driven decision-making.

Result: Operational dashboards improving supply chain visibility and reducing decision-making lead times.

Excel Power BI SQL

Education

2024 — 2026

Master's in Information Systems and Decision Making

Data Science track · University of Lille

2024

Bachelor's in Economics and Management

International Economics and Management track · University of Lille

My Skills

Business & Data Management

  • Business Analysis
  • Data Quality & Reliability
  • Process Mapping
  • Stakeholder Management
  • Data Storytelling
  • Agile Methods (JIRA)
  • User Acceptance Testing

Analytics & Visualization

  • Power BI
  • Tableau
  • Qlik Sense
  • Advanced Excel
  • Dataiku
  • Data Visualization

Data & Platforms

  • SQL
  • Snowflake
  • PostgreSQL
  • Oracle
  • Semarchy xDI
  • ETL/ELT
  • Data Warehouse

Programming & Data Science

  • Python
  • R
  • SAS
  • VBA
  • Machine Learning
  • Time Series
  • Econometrics
  • Git & GitHub
  • Docker

Beyond Data

Outside of data, I am involved in volunteering where I mentor young people from disadvantaged backgrounds. This experience has taught me patience and pedagogy, qualities I believe are essential for explaining technical results to a non-expert audience. I am also a big fan of football and traveling. These passions fuel my curiosity and team spirit.

Hiring?

I am available for a full-time Data / Business Analyst role in Paris, open to all data and business topics, with deep experience in fraud and payments. If my background resonates, drop me a line.