About Moustapha
- Automation of repetitive tasks via Python scripts (extraction, processing, integration)
- Development of APIs and micro-services with Django / FastAPI
- Integration of multi-source data (Excel, SQL, REST API)
- Writing unit tests and technical documentation
- Design of reliable and scalable ETL pipelines
- Cleaning, transformation, and structuring of massive data
- Optimization of SQL / PostgreSQL queries and data models
- Implementation of automated workflows for data collection and processing
- Text analysis, automatic email processing, and applied NLP
- Detection, classification, and generation of automatic responses
- R&D experiments in voice recognition and applied AI
English
Conversational
French
Native or bilingual
Experience
- TDFAutomation Developer AITELECOMMUNICATIONSJuly 2024 - March 2025 (8 months)Les Lilas, France
- Automation of the processing of several dozen emails per week via MsGraph and FastAPI
- Reduction of the average response time from several minutes to a few seconds thanks to response templates generated by LLM.
- Centralization of data in MongoDB, continuously consulted via Grafana by the IT team.
- Alten SANLP DeveloperRESEARCHJanuary 2024 - June 2024 (5 months)92100 Boulogne-Billancourt, FranceR&D Project: voice recognition system integrated into a drone
- Development of a real-time voice recognition module to continuously control a drone
- Evaluation of NLP performance on several tens of hours of voice and text recordings
- Implementation of interactive visualizations for R&D teams.
- ORANGEPython / Data DeveloperTELECOMMUNICATIONSFebruary 2023 - December 2023 (10 months)Arcueil, France
- Processing and alignment of several hundred communal geographic data with GeoPandas and QGIS.
- Automated import/export to Google Cloud Storage, reducing batch processing time from several hours to a few minutes.
- Implementation of unit tests and Confluence documentation, ensuring project reliability and longevity.
- Contribution to site safety by providing more precise and up-to-date mapping, limiting the risk of material and financial damage
- Extraction and analysis of thousands of conversation logs (PostgreSQL, BigQuery) to evaluate journey quality and customer satisfaction
- Simplification of user journeys (e.g., removal of a redundant question to direct users more quickly to an agent)
- Reduction of journey abandonment rates and improvement of overall interaction flow
- Contribution to better customer satisfaction and a decrease in repeated support requests
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Education
- Master Applied MathematicsUniversity of Cergy-Pontoise2016
Certifications
- SparkIB Formation2019
- Microsoft Power BI Desktop Masterclass for BeginnersUdemy2021