Sagar Das

Background

About Sagar Das

As an Associate Data Scientist at Reserve Bank Information Technology (ReBIT), I specialize in building and deploying production-grade machine learning systems for regulatory, compliance, and supervisory use cases at the Reserve Bank of India (RBI).My core expertise includes designing credit risk models using XGBoost, Random Forest, and Logistic Regression, achieving high model accuracy and delivering real-world impact such as a 15% reduction in default rates. I also have strong experience in deploying these models, managing them in production with effective monitoring strategies to detect drift, handle data quality issues, and ensure sustained performance.In addition to traditional ML workflows, I’ve worked on NLP-based chatbot systems using Llama3, Mistral 7B Google T5, capable of handling both internal HR/IT queries and external regulatory content. These systems demonstrate the value of generative AI in structured environments like finance and governance.I bring a comprehensive technical toolkit, including Python, SQL, Power BI, Seaborn, Matplotlib, Docker, AWS EC2, and Git/GitHub. My work reflects a strong understanding of data privacy, access control, and ML security standards, which are critical in financial ecosystems.I am passionate about data science as I believe it is a powerful way to understand and improve the world around us. I enjoy finding patterns, trends, and anomalies in data, and applying machine learning techniques to solve real-world problems. I am always eager to learn new things and to collaborate with others who share my interest in data science.