RFFreelancer profile translated to English.
Back to original languageAbout Ryan
I discovered programming at Paris-Dauphine University over 7 years ago, and since then, coding has become a true passion. Throughout my experiences, I evolved from a Python backend developer to a Data Scientist and AI Engineer, always with the same desire: to use data and AI to solve concrete business problems.
In recent years, I have worked on various projects:
• automation of regulatory reporting in banking/insurance,
• deployment of Machine Learning / NLP models,
• construction of data pipelines and workflow optimization,
• integration of generative AI solutions (LangChain, RAG, MLOps).
My current stack: Python, SQL, PySpark, AWS (S3, Glue, Lambda, SageMaker), Dataiku, Databricks, Snowflake.
What motivates me: delivering measurable value through data, making projects scalable and maintainable, and maintaining a pragmatic mindset, regardless of technical complexity.
Outside of work, I remain passionate about code (even in my free time 😅), but also about chess and martial arts.
French
Native or bilingual
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- DELOITTEData Scientist & AI EngineerCONSULTING AND AUDITSSeptember 2022 - Today (3 years and 9 months)Paris, France• Developed and deployed a RAG onboarding platform on AWS (SageMaker, OpenSearch, Lambda), providing real-time responses (<3s) and personalized learning paths.• Architected a Risk Data Hub for a high-profile french bank managing the ingestion and automated validation of 120+ daily data sources (+150Mrows) and processing complex regulatory data with PySpark.• Designed and industrialized a data quality control engine (Python, PySpark, Dataiku SDK), automating the execution of 500+ consistency rulesand 181 regulatory stress tests.• Trained Machine Learning models (classification, scoring) for recruitment optimization, resulting in a 30% reduction in candidate pre-screeningtime.• Created a web application (Flask, Vue.js) to translate business queries into SQL, reducing data access time for Risk teams from 5 days to 5 minutes.• Led the implementation of Power BI monitoring dashboards (Risk Ops), adopted by 7 teams to track real-time data quality KPIs, SLAs, and control results.
- DELOITTEData Scientist Intern – Risk AdvisoryCONSULTING AND AUDITSMay 2022 - September 2022 (4 months)Paris, France• Designed a data cleansing project and implemented automated data validation scripts.• Transformed General Ledger and Trial Balance data into intuitive and interactive dashboards (Tableau).• Conducted a detailed assessment of an organization's data maturity (via Deloitte's IDO framework) and drafted program and project roadmaps.
- EXPERTIS DÉCISIONData ScientistTECHJune 2021 - August 2021 (2 months)Casablanca, Morocco• Implemented and optimized an LSTM model to predict automotive parts pricing.• Implemented data visualization, cleaning, augmentation, and web scraping techniques.
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Education
- Master 2Dauphine, ENS, Mines Paris2023Intelligence Artificielle, Systèmes, Big Data
- LicenceUniversité Paris-Dauphine2021Mathématiques et Informatique