With 16 years of comprehensive experience in the banking and retail sectors, I have specialized in data science projects, particularly focusing on the architecture, design, and implementation of various automation frameworks. My expertise extends to developing state-of-the-art, fifth-generation script less automation tools powered by intuitive and path-breaking algorithms, all without the need for manual assistance.

Spearheaded the development of a fifth-generation script less automation tool, which was a huge success, particularly for first-time clients like the State Bank of Mauritius. This tool significantly reduced the setup time and complexity, allowing for basic sanity checks within two months—a stark contrast to the two years required by other vendors for stable sanity. Managing the projects from concept to Core Banking applications, Retail & handling project activities involving working out various requirements with respect to planning, utilities, Licenses, resource, automation testing. Monitoring overall project execution for ensuring timely completion in an Agile development environment.

 Demonstrated an unmatched ability to switch domains effortlessly, particularly into retail data science projects. Quickly adopted machine learning and DBT (Data Build Tool) methodologies, delivering efficient automation scripts at a Test Architect level. 

Successfully worked with an impressive array of clients, including IndusInd Bank, C. Hoare & Co., Kasikorn Bank, UMB, State Bank of Mauritius, PNC Bank, and United Services Automobile Association(USAA). And implementation partners like Accenture, TCS, NessPro (Thailand). Currently, I am engaged at Walmart through the implementation partner Cognizant, under the employment of ClientServer Technology Solutions.