Freelancer profile translated to English.

Description

Data Analyst | Machine Learning | Modeling & Reporting

🎯 Transform your data into strategic decisions!

With a Master's degree in econometrics and applied statistics and experience in mathematical modeling and data analysis, I help companies leverage their data intelligently.

✅ What I offer:

• Data analysis and visualization: Power BI, Python (Pandas, Matplotlib, Seaborn).

• Statistical Modeling & Machine Learning: Regression, classification, time series, scoring.

• Automation & Reporting: Advanced Excel, SAS, automation scripts.

• Backtesting and model validation: Performance evaluation and regulatory compliance.

💼 Experience:

• Institut Pasteur: Financial forecasting (legacies and life insurance) to optimize resources.

• BNP Paribas Personal Finance: Implementation of credit risk model backtesting procedures.

🚀 Why choose me?

• Methodical approach and business-oriented results.

• Corporate experience and understanding of business requirements.

• Rigor and pedagogical approach for clear communication of analyses.

Languages

French
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

SAS
Data Science Training
March 2019 - March 2019
Paris, France
• Participation in a one-month intensive program focused on data science and the use of SAS Viya tools. • Acquisition of advanced skills in data processing and analysis with SAS. • Completion of certification exams to validate technical and practical skills. • Development of practical projects using machine learning and predictive analysis techniques.
Athéïa
Junior Consultant
December 2019 - March 2021 (1 year and 3 months)
Paris, France
Institut Pasteur: Development of a 5-year forecast model for legacies and life insurance to optimize the allocation of funding for scientific research. Use of SAS and Excel for historical data analysis and modeling. BNP Paribas Personal Finance: Development of backtesting procedures for internal credit risk models, in accordance with EBA requirements. Use of SAS to build tables and results, feeding Excel reporting. Analysis of results to anticipate regulator questions.
Société Générale
Wholesale Credit Risk Assistance
April 2019 - September 2019 (5 months)
Paris, France
• Implementation of a rating model for SMEs (turnover < €20 million). • Refinement of the rating model for large companies with the integration of new variables. • Construction and management of databases with SAS. • Data analysis and development of predictive models with R. • Collaboration with local teams to ensure model alignment with business needs and regulatory requirements.