Freelancer profile translated to English.
Back to original languageAbout Yassir
Python Developer, API, and Data Scientist, passionate about IT. My core expertise lies in developing REST, GraphQL APIs, and microservices, where I design robust and high-performing solutions. As a data science specialist, I also excel in machine learning, data analysis, and visualization using Python, enabling me to effectively meet diverse business needs.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- La Banque Postale - ConformitéData ScientistBANKING AND INSURANCEOctober 2025 - Today (8 months)Paris, France
- Design, development, and industrialization ofmarket abuse detection scenarios(Insider Trading, Market Manipulation, Wash Trades, Layering/Spoofing) using **Dataiku**.
- Implementation of scenarios inPython / PySpark**, utilizing EDWs and orchestration via **Dataiku pipelines(recipes, datasets, automation).
- Construction of the BUILD in two phases:
- Phase 1: development of basic rules (thresholds, heuristics, behavioral indicators).
- Phase 2: optimization via Machine Learning (anomaly detection, clustering, scoring, time-series features).
- **RUN Activities**: performance monitoring, parameter tuning, computation time optimization, and validation of production scenarios.
- Production of ad hoc analyses and extracts (SQL, Python) and generation of key indicators related to market abuse surveillance.
- Contribution to data lineage, governance, and updating theColibradata dictionary (metadata, functional definitions, technical mapping).
- Strengthening the control framework through the creation of advanced features, KPIs, execution logs, and monitoring dashboards.
- SoonGoData ScientistAUTOMOBILEDecember 2025 - February 2026 (2 months)Paris, France
- Design and production deployment of a data & machine learning architecture to assess the electrification potential of corporate vehicle fleets.
- Development of an electric vehicle eligibility scoring model (analysis of vehicle usage, probability of trips > 300 km/day, 70/30 train/test split).
- Development of a rental cost prediction model to estimate the financial impact of transitioning to electric vehicles.
- Deployment of ML pipelines on AWS (Lambda / ECS), automation of daily refreshes via EventBridge (cron), and implementation of a monitoring & alerting system.
- Creation of PostgreSQL tables exposing scores and indicators, optimized for querying (full indexing, GraphQL compatibility).
- Construction of a consolidated SQL view integrating: vehicle data, average mileage, contract end, financial impacts (rental, taxation, fuel), and CO₂ savings (usage + production).
- Integration of external APIs (geocoding, public data) to determine eligibility for home charging station installation.
- Collaboration with product and data teams for business scoping, validation of financial and environmental assumptions.
Stack: Python, SQL, PostgreSQL, AWS (Lambda/ECS, EventBridge) - Saint MaclouData Scientist & API DeveloperRETAIL (SMALL BUSINESS)August 2023 - September 2025 (2 years and 1 month)Lille, France
- Creation of the first sales prediction Machine Learning model at Saint-Maclou using SK-Learn and SnowPark.
- Customer Analysis: Customer Segmentation with Unsupervised Learning (K-Means) and extraction of customer profiles at ST-Maclou.
- Sentiment Analysis of Customer Conversations and Comments using NLP on Snowflake.
- Deployment of Model Pipelines on Snowflake, using Git and AirFlow, executed at the beginning of each month.
- Creation of the Tracking and Quote API in REST with NodeJS Express, Snowflake, and MongoDB.
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Education
- Master Data and Artificial IntelligenceUniversité catholique de Lille2023
- Professional Bachelor's Degree: Processing and Analysis of Massive Data (Big Data)Ecole Supérieur de Technologie2022
Certifications
- IBM Data ScienceIBM2022