Freelancer profile translated to English.

Description

Data analyst for 6 years, I have had the opportunity to create analytical reports, customized dashboards during my experiences in various missions: La Poste, Ministry of Defense, Open food fact, Inoov8.... And to train professionals in Python, dataiku, powerBi and Tableau Software

What I offer

- Preparation and structuring of your data with MySQL, Pandas, SQLITE, BigQuery, Google Analytics..

- Creation of analytical reports for your company (Financial Report / Marketing Report ..) with Tableau software, Microsoft Power BI

- Data analysis with Python.

- Optimization of the performance of your dashboards

- Presentation of KPIs to various executive committees

- Project monitoring

- Support for business lines on the use of Data management and Data visualization tools

Industry field of expertise

Languages

English
Native or bilingual
Arabic
Native or bilingual
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

bnpparibas
DATAIKU migration consultant
July 2024 - Today (1 year and 11 months)
-Predictive model on fraud scoring

-Creation and automation of the social report

-Development of machine learning algorithms to detect fraud with 95% accuracy

-Implementation of an interactive dashboard to monitor in real time the performance indicators related to the social report

-70% reduction in fraud cases through optimization of predictive models

-Training of operational teams in the use of DATAIKU

Dataiku DSS Dataiku Python SQL
La Banque Postale
Data scientist/ analyst
PUBLIC SECTOR
December 2021 - Today (4 years and 6 months)
Paris, France
- Training and support of business teams in the use of data analysis tools (Dataiku and tableau) to promote user adoption and autonomy
Creation of a proactive mobility prediction model based on the analysis of HR data, thus identifying the key success factors for this mobility
- Evaluation of postage fraud costs through the implementation of a predictive fraud detection model
- Creation of an automated reporting system for monitoring key financial performance indicators (KPIs), enabling faster and more informed decision-making
- Participation in a data profiling project to identify customer profiles at high risk of churn, and development of an appetite score for postal products
Collaboration with the development team to improve the functionality and performance of data analysis tools
Dataiku Tableau software Python (Programming Language) Machine learning
Open Food Facts
Data analyst
AGRICULTURE
March 2021 - September 2021 (6 months)
Bd Périphérique, Paris, France
-Development of a classification algorithm to predict the category of a product based on its characteristics
- Collection and analysis of data on food products to assess the relevance of the eco score
Knime Metabase