Freelancer profile translated to English.
Back to original languageAbout Maissa
Computer engineer specialized in Data, I support companies in the collection, structuring and analysis of complex data.
Thanks to my experiences at Crédit Agricole and Sofrecom, I have developed solid skills in statistical modeling, Machine Learning, ETL, Data Visualization and Big Data (Python, Spark, Talend, SQL, Power BI, Docker, Databricks…).
✅ Autonomous and adaptable, I can quickly integrate into an existing project or build a solution from A to Z.
✅ Immediately available, I am motivated to contribute to your Data projects, whether they are for analysis, reporting, AI or data engineering.
👉 My goal: to transform your data into levers for decision-making and performance.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- Crédit AgricoleData Scientist & EngineerApril 2024 - October 2024 (6 months)Paris, FranceModel validation team - creditAs part of an independent review, development of a challenger origination score (definition of the training set, analysis and selection of variables, testing of different statistical approaches, modeling and validation of the model). Development of a webapp to verify the compliance of ECB reporting (particularly for PD, LGD, CCF, LGDD and ELBE parameters). Tools: Python, JupyterLab, Dash, Dataiku, SAS, Excel
- SofrecomHR Data Project Manager (Apprenticeship)September 2022 - August 2023 (11 months)Definition of business needs to frame project objectives. Design and automation of ETL workflows via Talend for collecting, integrating, and cleaning data from web scraping and internal databases. Implementation of ETL pipelines to load data into SQL warehouses. Implementation of data governance (documentation, quality, access management, compliance). Development of a data analysis strategy to evaluate profile relevance. Presentation of results and recommendations. Tools: Talend, MongoDB, Python, NLP, SQL, ETL, Power BI
- SofrecomBig Data InternshipJune 2022 - August 2022 (2 months)Design and deployment of a dashboard for logsDefinition of needs and key indicators Creation of interactive dashboards Analysis of discrepancies and monitoring of corrective actions. Industrialization and deployment via Docker containers Tools: Logstash, Elasticsearch, Kibana, Docker, MongoDB
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Education
- Master 2 Intelligent Systems and ApplicationsUniversité Gustave Eiffel2024Master 2 Systèmes Intelligents et Applications
- Computer Engineering DegreeEsprit Tunis2024Cycle d'ingénieur en informatiques