Simon Adda

- GenAI Chatbot Text-to-SQL Application (since January) o Improved SQL query accuracy by 60% using retrieval augmentation with LLMs, resulting in faster and more efficient data retrieval. o Successfully deployed the Text-to-SQL application on a Gradio app with Docker, ensuring accessibility and scalability for users. Transferable skills: GCP, OpenAI, Docker, SQL, FastApi, Langchain, Linux, Vanna, Gradio, Git - Proactively detect anomalies in brake systems using machine learning classification (4 months) o Extracted and harmonized diverse data from Snowflake tables using SQL, ensuring data quality and model effectiveness. o Packaged and implemented Python code for industrial-scale deployment on Azure ML, demonstrating efficiency and scalability. Transferable skills: Azure ML Studio, Python, Snowflake, SQL, Git, Linux, Statistic - Data science python library development (1 year) o Developing "scikit-learn" equivalent library to implement advanced ML algorithms for business applications. o Demonstrating expertise in knowledge management, advocating for coding, machine learning, and industrialization best practices. o Proficient in product and project management, employing agile frameworks, CI/CD o Developing and deployed scalable tech products using data-driven approaches to address client and internal challenges. Transferable skills: Python, pytest, pandas, numpy, sklearn, prophet, pre-commit, poetry, Git, Jira, Linux - Strategy mission on new improving time service recommendation for all France restaurants (6 months) o Led and contributed successfully to the industrialization process of over 1450 machine learning models on Databricks. - Capture long term impact of invests using Prophet: Marketing Mix Modeling (3 months) o Computing the short and long-term impact of marketing on sales using time series investments. o Developing Python method based on prophet library to extract global trend of sales of +10 customer products.

• Implementation of a trading bot on decentralized cryptocurrency exchanges (python, API rest) • Use of AI models to conduct arbitration in the Blockchain environment

• Creation of a sizing recommendation application for fashion brands to improve customer satisfaction and reduce ecological impact. The project comprised the creation of a prototype, economic viability model, and customer profiling. • Website development, UI / UX design. • Using Python to apply Machnine Learning models on data to predict the better size of a customer

- Introduction to the Bloomberg Query Language and its APIs via various Bloomberg training courses in Paris - Sharing of knowledge and adoption of new decision support technologies by brokers - Analysis of financial indicators and reporting on Excel

Implementation of a Big Data Lambda architecture in the Cloud.

- Get to know the local market by positioning yourself as a key banking player among young people in order to acquire new market share and build loyalty among existing clients; - Disseminate the BNP Paribas product offer, prospect and negotiate - Ensure a strong local presence in the field and create partnerships with the players in this market.

- Identify and approach profiles that are in tune with the market using our existing tools: social networks, job boards, internal pool. - Be in charge of putting the ads online. - Conducting telephone interviews with candidates to qualify them, identify their expectations, and introduce them to KEYRUS and the teams. - Organize and follow up physical interviews. - Participate in interviews and contract signatures. - Reporting and updating of the internal recruitment management tool