Krishna Narayan Singh

As an innovative analyst, I have consistently demonstrated a strong aptitude for leveraging data-driven insights to optimize financial operations and enhance efficiency. My expertise in cash application processes, deduction management, collections, finance, and B2B transactions has enabled me to make meaningful impacts in dynamic environments. With over two years of experience in the fintech sector, I have successfully led more than 10 projects for 20+ clients, achieving automation rates of up to 80% and driving measurable improvements in operational workflows.

A key aspect of my career has been my ability to adapt and excel in stakeholder management. By analyzing accounts receivable (AR) data, I derived actionable insights that informed strategic decisions and fostered collaboration. My commitment to innovation was further exemplified through initiating client discussions aimed at exploring the revenue potential of AI applications. This initiative not only enhanced cash application processes but also led to the design of robust matching algorithms and exception handling systems. These advancements increased data accuracy by 30% and operational efficiency by 25%, underscoring my ability to deliver results that align with business goals.

My technical proficiency is rooted in a solid foundation of data analysis and machine learning. Utilizing tools like Power BI, I have transformed complex financial datasets into actionable insights, empowering stakeholders to make informed decisions. Additionally, my expertise in Python and machine learning has allowed me to develop scalable solutions that streamline workflows and optimize resource allocation.