Freelancer profile translated to English.
Back to original languageAbout Mohamed
Data & Analytics Engineer since 2017, I combine technical expertise in data engineering, advanced analysis, and strategic vision to transform data into actionable insights. Working with Python, SQL, Airflow, AWS, and various visualization tools, I provide solutions for designing data pipelines and decision-making support tools. Passionate about the potential of data to shape the future, I seek to collaborate on ambitious projects to unlock data value.
French
Native or bilingual
English
Fluent
Spanish
Conversational
Can work on-site
Paris (up to 40km), Lille (up to 10km)
Experience
- Muséum National d'Histoire NaturelleData EngineerRESEARCHJune 2023 - Today (3 years)Paris, FranceData Engineering:- Implementation of a data pipeline orchestrated by Airflow, Oracle, SQLAlchemy andPostgreSQL- Developing SQL Queries- Implementing Python Unit Testing
- ReezocarGrowth Data EngineerAUTOMOBILEMay 2023 - December 2023 (7 months)Boulogne-Billancourt, FranceData Engineering & Data Analysis :- Leading workshops to translate business needs into data requirements- Implementation of a Machine Learning pipleline for Speech-to-text (AWS)- Implementation of a data pipleline orchestrated by airflow, datalake S3 (AWS)Growth Hacking- Framework AARRR : Conversion funnel optimization- Suggesting and developping KPIs on Tableau Software and Python
- StormHarvesterData ScientistSOFTWARE PUBLISHINGOctober 2021 - April 2022 (6 months)Belfast, United Kingdom- Designing, developing, implementing, testing, maintaining, supporting, and delivering product features and functionality- Carrying out analysis, and integrating or developing new techniques for implementation and delivery as part of the product offering- Feature engineering, applying varying machine learning models, testing, and validatingthese, for use by customers
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Education
- Master Big DataCNAM Paris2019- Mathématiques : Statistiques, Probabilité, Algèbre linéaire - Méthodologie de projet: CRISP-DM; Agile(Scrum) et Design Thinking - Base de données: MySQL(PostgreSQL), NoSQL(MongoDB, Cassandra) - Data Analysis: Python(Pandas, Numpy, Matplotlib, NLTK, Scikit-Learn, Keras), R, SQL. - Datavisualisation: D3.JS, Tableau, Power BI, Cartographie, QGIS, Gephy. - RGPD...
Certifications
- Python for Data ScienceData Scientist2023
- SQL for Data ScienceData Scientist2023