As a senior data scientist at NICE Actimize, I lead a team of data scientists and analysts to develop and deploy machine learning models for detecting frauds in financial institutions. I have full ownership of the data pre-processing to deployment stage, interaction with clients and their modeling governance team. I also work with internal stakeholders to improve existing tools and streamline different processes. I have a bachelor of technology degree in information technology from GITAM University, and ten years of experience in solving business problems using machine learning techniques and building data-intensive applications. Previously, I worked at HSBC with the marketing analytics team, where I applied data science and analytics to develop NBP (Next Best Product) framework using propensity model and customer segmentation, and to optimize marketing campaigns. I have successfully delivered multiple projects with high accuracy and performance, reducing fraud losses, increasing customer satisfaction, and enhancing customer loyalty and retention. I am proficient in data science, machine learning, SQL and python programming language. I am passionate about finding innovative solutions to complex challenges and creating value for businesses and customers. I am always eager to learn new skills and technologies, and enjoy collaborating with diverse and talented teams.