SURABHI SINGH

• Spearheaded the development of a Language Model (LLM) based tool to conduct Quality Assessment of audits in the financial sector, aligning with International Internal Audit Standards (IIA), resulting in streamlined audit processes and adherence to regulatory standards.
• Automated audit review and control processes for a Multinational Bank by creating Python scripts to identify exceptions, enhancing efficiency and accuracy in audit procedures.
• Orchestrated the end-to-end deployment of a regulatory reporting tool leveraging SQL and Python, ensuring seamless integration and functionality for regulatory compliance.
• Pioneered the creation of a Voice tool powered by Generative Pre-trained Transformer (GPT) technology for Quality Assurance (QA) of Call Centers, incorporating diverse quality parameters to enhance customer service standards.
• Provided adept leadership and guidance to technical teams in the successful execution of multiple data analytics projects, ensuring project objectives were met with excellence and timeliness.
• Developed a predictive model within IT General Control Measures using Tableau, contributing to strengthened control mechanisms and governance within the organization.
• Engineered a comprehensive reporting tool utilizing Tableau to monitor market and credit risk fluctuations, providing stakeholders with actionable insights for informed decision-making.
• Designed and implemented a Tableau dashboard to detect anomalies in audit report ratings, facilitating proactive identification and resolution of potential issues.
• Constructed a Risk Weighted Assessment (RWA) Tool leveraging Tableau and Python, enabling stakeholders to monitor and manage risk components on a daily basis, enhancing risk management practices within the organization.
• Leveraged Python and Generative AI techniques to scale the Quality Assurance (QA) process for Call Centers of Banks, conducting Sentiment Analysis to optimize customer interactions and satisfaction.
• Led a Machine Learning model project aimed at predicting major tech-related incidents using Python, fostering proactive risk mitigation strategies within the organization.
• Executed an RWA Tool project for assessing market and credit risk utilizing Tableau and Python, ensuring accurate risk assessment and regulatory compliance.

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• Managed the Digital Account (Abacus) Team, overseeing operations, optimizing functionalities, and ensuring seamless customer experiences
• Extracted actionable insights from extensive data analysis, driving improved revenue generation strategies
• Proficiently handled stakeholder relationships, fostering effective communication and collaboration between various departments
• Conducted data mining initiatives to extract valuable customer information, optimizing customer acquisition and retention strategies
• Constructed and deployed predictive models using advanced analytical techniques, contributing to more accurate risk assessments
• Led the Fraud Risk Management of Digital Accounts project via Machine Learning using Python and libraries such as Pandas, Numpy, and Scikit-learn.

• Conducted extensive data mining operations focused on campaigns, extracting valuable insights for targeted marketing strategies
• Methodically assessed and interpreted campaign results, providing comprehensive insights into performance metrics
• Implemented robust data cleansing processes and performed in-depth exploratory data analysis for data accuracy
• Executed A/B testing methodologies on campaign data, facilitating comparative analysis for optimized campaign performance.