Sauleh Deshmukh

I am an analytical and business-focused Data Scientist with a strong track record of delivering end-to-end machine learning solutions across various domains, including credit risk, document automation, and Generative AI. My passion for large language models (LLMs) and Retrieval-Augmented Generation (RAG) drives me to develop AI agents and automate research pipelines that yield actionable insights.

In my recent role as a Junior Data Scientist at DAQI, I successfully boosted credit approval accuracy by 15% by architecting ML-based scoring models that replaced legacy rule-based systems. I conducted exploratory data analysis to identify patterns and high-impact variables influencing risk, which elevated portfolio risk insights. My efforts in enhancing model recall for high-risk classes improved default prediction sensitivity significantly.

With a solid foundation in Python and various data science tools, I have also contributed to projects that automate processes and improve decision-making efficiency. I am eager to leverage my skills and experience in a challenging role that allows me to further explore the intersection of AI and business solutions.