Ankit Kumar Surana

Implementation of AI-Driven Financial Advisor for Partner Banks

• Spearheaded the implementation of AI-Driven Financial Advisor for partner banks, leveraging Python, SQL, and advanced data visualization techniques.
• Developed required policies and procedures that reflected actual goals, tasks and workflows, while meeting all regulatory compliance requirements
• Created dashboards to monitor and track key performance indicators
• Collaborated with stakeholders to identify business needs and data sources
• Deployed predictive analytics models to forecast future trends
• Championed system design improvements, resulting in a 20% increase in efficiency and a 15% reduction in operational costs.

Data Migration from Teradata to Redshift

• Successfully migrated enterprise data from Teradata to Redshift for prominent financial services company.
• Demonstrated learning agility by rapidly acquiring expertise in AWS technologies and leveraging them to optimize data retrieval and processing.
• Developed synthetic data using Python to validate migration models, contributing to improved data accuracy and reliability.
• Reduced time to market by 30%, showcasing proactive approach to process optimization and efficiency enhancement.

AI-Powered Finance Advisor

• Led a team of 5 data analysts, ensuring timely delivery of multiple projects and improving team processes.
• Collaborated with stakeholders to refine user stories and provide quality solutions based on client requirements.
• Acted as Lead Specialist in multiple releases, coordinating all testing activities across multiple squads.
• Mentored junior analysts and new team members, sharing technical, functional, and domain knowledge to enhance team capabilities.
• Created model data generator tool that reduced bugs by 80% and helped in early identification and fixing of bugs.

Digital Banking & Insurance Data Management

• Led data creation and management for Digital Banking and Insurance, working with cross-functional teams to develop solutions.
• Developed intelligent framework using scripting languages and CATDM features, reducing data management efforts by 40%.
• Utilized CATDM and Javelin to fetch data for multiple scenarios from source systems, ensuring quality for QA.
• Integrated Lisa tool to automate and validate data on REST services with service virtualization, enabling faster retrieval.
• Mentored team members in data management, providing technical guidance and sharing domain knowledge.