salma kellali

• Developed a Retrieval-Augmented Generation (RAG) system at ITSS GLOBAL to enhance access to extensive banking documentation.
• Designed and implemented an efficient data pipeline utilizing ELT processes to streamline documentation retrieval.
• Leveraged FastAPI for creating robust APIs, ensuring seamless integration with existing banking software solutions.
• Utilized Apache Spark for processing large datasets, improving query response times and data handling capabilities.
• Achieved more relevant answers and reduced AI errors, leading to significant time savings for users accessing documentation.
• Gained hands-on experience in data engineering principles, preparing for a transition into a junior data engineer/science role.

• Developed a robust Streamlit web application to streamline credit scorecard development processes, enhancing efficiency in data cleaning, encoding, variable selection, modeling, and evaluation.
• Leveraged AI algorithms to provide actionable recommendations, improving decision-making and user experience.
• Implemented intuitive navigation features, ensuring user-friendly interactions and accessibility for stakeholders.
• Ensured professional data management practices by integrating a database for secure storage and retrieval of results.
• Enhanced the overall functionality and performance of the application, contributing to a more effective data engineering workflow.
• Gained hands-on experience in data engineering principles, preparing for a transition into a junior data engineer/science role.