Years
Of Experience
Projects Completed
actually based in Paris, France
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Experianced with advanced algorithms for predictive analytics (regression), classification, and clustering using PyTorch, Scikit-learn and TensorFlow.
Experianced with LangChain and LangGraph frameworks, OpenAI embeddings, ChromaDB and Pinecone vectore databases, and Streamlit & NextJS for deployment.
Expertise in deploying scalable AI and ML models using CI/CD pipelines with Azure DevOps, and Azure Machine Learning for seamless model integration.
Orchestrate ETL pipelines with custom azure functions, ingesting data into optimal storage solutions, and complex data transformation using Databricks.
Skilled in Power BI for connecting to various data sources (M), performing efficient data modeling, complex calculations (DAX), and creating insightful dashboards.
Specialized in solving any data-related challenges, from devising data strategies for immature companies to optimizing existing processes.
Trained and deployed regression model to predict duration of action plans realisation based on Sonepar's confidential features
Efficiently classifying action plans by analyzing text columns 'Action Plans Recommendation' and 'Issue Description' to identify topics
Robust tool leveraging statistics and ML to detect fraudulent activities in travel and expenses data to identify unusual patterns and discrepancies that may indicate fraud
Developped a Retrieval-Augmented Generation (RAG) tool using Azure OpenAI, ChromaDB and Streamlit, enabling auditors to interact with audit reports
Developed a chatbot to interact with structured data in Databricks SQL Warehouse. The system dynamically queries based on user questions and retrieves information.
Delivered end-to-end Power BI reports for various departments including Audit, Merger and Acquisitions , Finance and Accounting, Green Offer and Sustainability...
