Seymur Garibov

Architected and deployed full-stack web applications including Beledchi and Botman chatbot platforms, managing front-end, back-end, and AI model integration. Built end-to-end data pipelines involving web scraping, data processing, and SQL database loading for model training. Implemented advanced AI features using Retrieval-Augmented Generation (RAG) and Knowledge Graphs for context-aware chatbot systems. Developed business plans, pitched projects to investors, and created technical roadmaps.

Engineered and launched a customer-facing retail chatbot leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) framework to improve automated query resolution. Developed a Natural Language-to-SQL agent using LLM transformers, enabling non-technical users to perform complex database queries and reducing reliance on data teams. Built and deployed a Probability of Default (PD) model improving predictive accuracy by 5%. Created a customer income estimation model to support strategic portfolio expansion and targeted marketing. Implemented a Value at Risk (VaR) model to quantify market risk supporting portfolio management and hedging strategies. Designed and maintained Tableau dashboards for monitoring model performance, key metrics, and profitability impacts.

Reduced customer churn by 7% via development of a Customer Lifetime Value (CLV) machine learning model. Automated financial reporting with complex SQL queries, saving 10 working days monthly. Conducted time series analysis on customer income data to forecast revenue trends supporting retention strategies. Created and managed Power BI dashboards to track KPIs for core insurance products.