Karthik Kadayam Eswaran

As a business systems analyst, I have extensive experience in gathering and documenting business requirements, analyzing complex data, and working with cross-functional teams to deliver successful projects. I have a proven track record of identifying opportunities for process improvements, designing and implementing effective solutions, and ensuring that projects are delivered on time and within budget.

My strong analytical and problem-solving skills, coupled with my attention to detail and ability to communicate effectively with stakeholders at all levels, have helped me to succeed in various roles throughout my career. I am highly adaptable and able to quickly learn new technologies and processes to meet the needs of any organization.

I am passionate about leveraging technology to drive business value and improve processes, and I am always looking for opportunities to further develop my skills and expertise. With my experience and passion, I am confident that I can make a valuable contribution to any organization looking for a dedicated and results-driven business systems analyst.
 

Karthik Kadayam Eswaran is a PMI-CAPM® certified Business Systems Analyst with a track record of delivering complex products and services while optimizing business processes for maximum efficiency and continuous delivery. He has extensive experience in End-to-End Workflow Development, Business Intelligence and Analytics, Pattern Recognition, and Data Visualization, using these skills to drive business solutions. Karthik has expertise in various SDLC methodologies, coding languages, APIs, workflow and visualization tools, and PM and defect tracking software. He also has extensive domain knowledge in Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud, ACH, Retail, Online, and Mobile Banking.

Karthik is currently enrolled in a Doctor of Business Administration Degree in Business Intelligence & Data Analytics. He has also acquired a Master of Science in Information Systems, and a Bachelor of Technology in Computer Science & Engineering.