Freelancer profile translated to English.

Description

Hello and welcome to my profile,

In a few words, I am a Data Analyst with a background in financial engineering.

I support companies inexploiting and valuing their datathrough automation (SQL, Python, VBA),creating interactive dashboards(Power BI, Tableau, Looker Studio), and **performance analysis**.

I provide **clear and actionable deliverables**: dynamic dashboards, automated reporting, forecasting models, and comprehensive documentation to ensure the sustainability of solutions.

Thanks to my dual data & finance expertise, I offer solutions that are both technical and business-oriented to optimize decision-making.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km), Toulouse (up to 50km), Lyon (up to 50km), Marseille (up to 50km), Lille (up to 50km)

Thales
Data Analyst
DEFENSE AND MILITARY
September 2023 - September 2025 (2 years)
Dubai City, United Arab Emirates
Collection and structuring of data from various sources (SQL, API, Excel, CRM, ERP) to ensure their quality and consistency for analysis.

Automation of financial, commercial, or operational reporting (Python, SQL, VBA) → reduction in production time and increased reliability of key indicators.
Design of interactive dashboards in Power BI / Tableau / Looker Studio, with real-time monitoring of strategic KPIs (sales, budget, performance, supply chain, HR).

Descriptive and exploratory analysis: highlighting trends, detecting anomalies, calculating KPIs to inform strategic decisions.
Simple predictive modeling (time series, sales forecasts, budgets) to anticipate needs and guide strategy.

Data storytelling: clear and pedagogical presentation of results to business teams (finance, marketing, operations), with actionable recommendations.
Training and support for users in mastering dashboards and automated tools, to ensure autonomy and lasting adoption.
Microsoft Power BI Python SQL ETL Data visualization
La Francaise
Consulting in Quantitative Finance & Data Science
PRIVATE EQUITY
September 2022 - September 2023 (1 year)
Paris, France
Development of a predictive algorithm for stock market returns based on corporate financial data, combining machine learning techniques and statistical methods to increase trading signal accuracy.
In-depth analysis of complex financial data to identify factors influencing market fluctuations, with a focus on fundamental and technical drivers.

Integration of technical indicators and financial metrics into models to enhance the relevance of generated signals and support execution decisions.
Exploitation of Big Data using advanced data engineering tools to automate the cleaning, normalization, and processing of large volumes of market data.
Systematic backtesting on historical data to evaluate the robustness and performance of strategies, with detailed risk analysis (drawdown, volatility, performance ratios).
Big Data Machine Learning Financial Analysis Data Science Data visualization
SYSTEMATHICS
Quantitative Analyst
PRIVATE EQUITY
September 2021 - September 2022 (1 year)
Paris, France
Predictive modeling and machine learning: Detecting patterns in market data and developing predictive models to support trading and investment decisions.

Algorithmic trading: Contribution to portfolio management through automated order execution, performance analysis, and continuous strategy optimization.
Optimization of trading signals: Improvement of signal generation and filtering algorithms using advanced statistical approaches and supervised/unsupervised machine learning techniques.

Technological watch and experimentation: Exploration of new models, rigorous backtesting, and industrialization of solutions in a demanding production environment.
Machine Learning Data Science Financial Analysis Big Data Data Analysis