As the tech lead in the distribution area, I drive technical and scientific efforts, leading the development and implementation of advanced data analysis and machine learning solutions. My responsibilities include building scalable solutions that enhance operational efficiency and strategic decision-making. Key contributions: • Developed and implemented a hyper-classification model using Large Language Models (LLMs) to categorize products at a high level of precision. • Created a dynamic pricing algorithm rooted in business rules and Machine Learning, enabling more accurate and competitive pricing strategies. • Implemented an automated monitoring system to proactively identify and resolve performance issues, improving system reliability and reducing downtime.Previous Experience:With over ten years of experience in pricing, trading, modeling, and developing hedging strategies using derivatives and other financial instruments, I bring expertise in dynamic optimization, risk management, and financial modeling. My recent Ph.D. in finance, coupled with proficiency in R, Python, and SQL, has equipped me with advanced quantitative skills and a solid foundation in data science.I’m also expanding my skills through an intensive Data Science bootcamp, strengthening my ability to make data-driven decisions. My expertise spans financial modeling, data science, derivatives, hedging, and risk management, which I’m eager to leverage to drive insights and optimize decision-making for organizations.Competencies: • Quantitative Analysis • Data Science • Research • Financial Modeling • Derivatives, Hedging, Risk Management • R / Python / SQLGitHub: https://github.com/MRB-2020