Freelancer profile translated to English.

Description

Data Analysis and BI Consultant with over 4 years of experience, holding a Master's degree in Data Science and Machine Learning. Initial experiences in Data Engineering (data pipelines, integration, and data quality), complemented by expertise in BI reporting, advanced analytics, and data governance, focused on business performance and decision support. Working in Agile / Scrum environments, I support data transformation and valorization projects to maximize their value and reliability.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
Arabic
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

BCA EXPERTISE
Consultant Data Analyst / Data Engineer
BANKING AND INSURANCE
January 2023 - Today (3 years and 5 months)
Ile-of-France, France
Implementation of a Data Catalog: integration and mapping of data sources, automation of metadata collection and updating, management of technical and functional lineage. Definition and application of data governance rules, implementation of data quality controls and tests, improvement of data traceability, reliability, and usage. Design and deployment of conversational agents based on the Retrieval-Augmented Generation (RAG) approach adapted to specific business themes. Creation and maintenance of an extraction warehousing platform to simplify data access and track internal and external usage rates. Migration of Talend jobs to an SQL Server DWH according to a new data model. Creation and redesign of Power BI dashboards: new models, optimization of measures, and performance improvements. Design and enrichment of SSAS tabular cubes. Active participation in Agile / Scrum rituals and facilitation of some workshops.
Astek
MLOps Intern
CONSULTING AND AUDITS
March 2022 - September 2022 (6 months)
Lille, France
Comparison of the performance and costs of GCP and AWS cloud services for a real-time sentiment analysis application. Use and customization of existing cloud services, as well as the design of custom Deep Learning models. Deployment, supervision, and maintenance of models in a production environment.