Stealth project: Developed and productionized a Retrieval-Augmented Generation (RAG) platform enabling users to search, analyze, and extract insights from decisions issued by the French drug reimbursement commission. Designed and implemented document ingestion pipelines, semantic search capabilities, and LLM-powered retrieval and summarization workflows to deliver accurate, context-aware answers from complex reports and transcriptions. Deployed the solution into production and supported its operational adoption.
Komatsu Mining: Supported the Surface Factory Analytics team in enhancing reporting practices for mining equipment across internal and external stakeholders. Collaborated with product engineers, data scientists, and BI developers to design and deliver dashboards, data solutions, and AI-driven applications providing insights into surface mining assets such as shovels, loaders, and haul trucks.
Overlord: Contributed to the formalization and automation of investment performance evaluation within a vehicle management platform. Developed and deployed Python scripts to compute performance metrics for private equity managers and investors. Built multiple LLM-based proof-of-concept applications to evaluate investment strategies and support marketing intelligence initiatives.
2 years 3 months
2021-07 - 2023-09
SYNTHESIS
SENIOR DATA SCIENTIST
SENIOR DATA SCIENTIST
Delivered key performance metrics and reporting insights to multiple internal teams, including Product, Operations, Marketing, and Finance, to support data-driven decision-making.
Designed, built, and maintained the company?s end-to-end analytics pipeline, spanning data ingestion, transformation, and reporting layers.
Developed a scheduling heuristic to automate the opening of new classes based on student waitlist preferences and teacher availability, improving resource allocation efficiency.
Proposed and implemented a Python-based optimization approach for game infrastructure scaling using scheduled session demand, reducing server requirements while maintaining full coverage of peak capacity needs.
Built a proof-of-concept framework for parent-facing student progress analytics, incorporating metrics such as cross-location teammate interactions, game outcomes, and session participation.
3 years 4 months
2017-09 - 2020-12
Conducting health data analyses
DATA SCIENTIST
DATA SCIENTIST
Delivered health data analysis for public institutions, pharma, and medtech companies.
Collaborated with diverse teams (data scientists, engineers, developers, designers, and medical experts).
HEVA
5 months
2017-04 - 2017-08
Internship
INTERN
INTERN
HEVA
3 months
2016-06 - 2016-08
Research Activity
ECOLE POLYTECHNIQUE DE MONTREAL
Aus- und Weiterbildung
Aus- und Weiterbildung
2017 ? 2020 MINES SAINT-ETIENNE ? PHD Subject: ?Predictive Modeling of Patient Pathways using Process Mining and Deep Learning?
2014 ? 2017 MINES SAINT-ETIENNE ? MASTER?S DEGREE Master of Science in Engineering, majoring in Data Science and Healthcare Engineering
Senior Data Scientist / AI Engineer with 9+ years of experience building analytics, ML & AI solutions
Kompetenzen
Kompetenzen
Top-Skills
Data ScientistMachine LearningKünstliche IntelligenzData
Produkte / Standards / Erfahrungen / Methoden
Skills
Artificial Intelligence & Machine Learning
Machine Learning and Deep Learning (Scikit-learn, LightGBM, TensorFlow, PyTorch) Generative AI applications using OpenAI and Mistral APIs Retrieval-Augmented Generation (RAG), semantic search, embeddings, and agentic architectures Predictive modeling, forecasting, and decision-support systems
Data Engineering
Data pipelines and ETL development using APIs, Amazon S3, and custom workflows Data warehousing and database management (Snowflake, Amazon Redshift, PostgreSQL, MySQL, MariaDB, Redis, Supabase) Data modeling with dbt Workflow orchestration with Airflow and Celery
Analytics & Business Intelligence
Product and business analytics (acquisition, attribution, retention, cohort analysis, growth accounting, lifetime value) KPI definition, reporting, and dashboard development Power BI, Plotly Dash, Mode, and Google Sheets
Programming & Development
?Python (NumPy, Pandas) Git, VS Code, Jupyter Notebook, Docker, Linux Basic knowledge of R and MATLAB
Einsatzorte
Einsatzorte
Hamburg (+10km)
Deutschland
möglich
Projekte
Projekte
3 years 1 month
2023-09 - now
CONSULTING IN DATA SCIENCE & AI
FREELANCE
FREELANCE
Stealth project: Developed and productionized a Retrieval-Augmented Generation (RAG) platform enabling users to search, analyze, and extract insights from decisions issued by the French drug reimbursement commission. Designed and implemented document ingestion pipelines, semantic search capabilities, and LLM-powered retrieval and summarization workflows to deliver accurate, context-aware answers from complex reports and transcriptions. Deployed the solution into production and supported its operational adoption.
Komatsu Mining: Supported the Surface Factory Analytics team in enhancing reporting practices for mining equipment across internal and external stakeholders. Collaborated with product engineers, data scientists, and BI developers to design and deliver dashboards, data solutions, and AI-driven applications providing insights into surface mining assets such as shovels, loaders, and haul trucks.
Overlord: Contributed to the formalization and automation of investment performance evaluation within a vehicle management platform. Developed and deployed Python scripts to compute performance metrics for private equity managers and investors. Built multiple LLM-based proof-of-concept applications to evaluate investment strategies and support marketing intelligence initiatives.
2 years 3 months
2021-07 - 2023-09
SYNTHESIS
SENIOR DATA SCIENTIST
SENIOR DATA SCIENTIST
Delivered key performance metrics and reporting insights to multiple internal teams, including Product, Operations, Marketing, and Finance, to support data-driven decision-making.
Designed, built, and maintained the company?s end-to-end analytics pipeline, spanning data ingestion, transformation, and reporting layers.
Developed a scheduling heuristic to automate the opening of new classes based on student waitlist preferences and teacher availability, improving resource allocation efficiency.
Proposed and implemented a Python-based optimization approach for game infrastructure scaling using scheduled session demand, reducing server requirements while maintaining full coverage of peak capacity needs.
Built a proof-of-concept framework for parent-facing student progress analytics, incorporating metrics such as cross-location teammate interactions, game outcomes, and session participation.
3 years 4 months
2017-09 - 2020-12
Conducting health data analyses
DATA SCIENTIST
DATA SCIENTIST
Delivered health data analysis for public institutions, pharma, and medtech companies.
Collaborated with diverse teams (data scientists, engineers, developers, designers, and medical experts).
HEVA
5 months
2017-04 - 2017-08
Internship
INTERN
INTERN
HEVA
3 months
2016-06 - 2016-08
Research Activity
ECOLE POLYTECHNIQUE DE MONTREAL
Aus- und Weiterbildung
Aus- und Weiterbildung
2017 ? 2020 MINES SAINT-ETIENNE ? PHD Subject: ?Predictive Modeling of Patient Pathways using Process Mining and Deep Learning?
2014 ? 2017 MINES SAINT-ETIENNE ? MASTER?S DEGREE Master of Science in Engineering, majoring in Data Science and Healthcare Engineering
Senior Data Scientist / AI Engineer with 9+ years of experience building analytics, ML & AI solutions
Kompetenzen
Kompetenzen
Top-Skills
Data ScientistMachine LearningKünstliche IntelligenzData
Produkte / Standards / Erfahrungen / Methoden
Skills
Artificial Intelligence & Machine Learning
Machine Learning and Deep Learning (Scikit-learn, LightGBM, TensorFlow, PyTorch) Generative AI applications using OpenAI and Mistral APIs Retrieval-Augmented Generation (RAG), semantic search, embeddings, and agentic architectures Predictive modeling, forecasting, and decision-support systems
Data Engineering
Data pipelines and ETL development using APIs, Amazon S3, and custom workflows Data warehousing and database management (Snowflake, Amazon Redshift, PostgreSQL, MySQL, MariaDB, Redis, Supabase) Data modeling with dbt Workflow orchestration with Airflow and Celery
Analytics & Business Intelligence
Product and business analytics (acquisition, attribution, retention, cohort analysis, growth accounting, lifetime value) KPI definition, reporting, and dashboard development Power BI, Plotly Dash, Mode, and Google Sheets
Programming & Development
?Python (NumPy, Pandas) Git, VS Code, Jupyter Notebook, Docker, Linux Basic knowledge of R and MATLAB
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