Swathiganeesh

Data analyst at Quantum Data Engines

Worked on the development of an AML-focused chatbot designed to enhance transparency around the source and destination of funds in support of financial crime prevention. The role involved extensive data analysis and regulatory research to identify money laundering risk indicators and compliance requirements, leading to the design of over 50 targeted investigative questions for customer due diligence. Developed a chatbot and deployed and integrated it in the customer dashboard using Python, SQL, rest and RASA framework, applying NLP and machine learning techniques to improve intent classification and entity extraction, resulting in a 15% improvement in response accuracy. Ensured strict adherence to data security and regulatory standards throughout development while collaborating with cross-functional stakeholders to align technical implementation with compliance and business objectives.

Data analyst at Rajalakshmi engineering College

Conducted big data analysis on 5,000+ survey responses, deriving actionable insights that supported 10% improvement in student satisfaction and established benchmarking metrics for 5 key performance areas, driving strategic improvements for the college.