Bio : Rutuja Kelkar

Introduction to Me!

Hi, My name is Rutuja Kelkar, currently pursuing my Master’s in Business Analytics at the University of Cincinnati. I recently moved to Cincinnati and am presently working as a Business Analyst Intern at the Center for Business Analytics. Previously, I worked with clients like TCS, Amgen, and PayPal, gaining experience in data analytics and marketing automation. My focus has been on building data-driven solutions and intelligent products that improve customer engagement and business outcomes. I’m excited to continue applying my skills at the intersection of analytics, product strategy, and AI-driven innovation.

Academic Background

• Presently pursuing Master’s in Business Analytics from the University of Cincinnati in the United States.
• Completed my Bachelors of Engineering in Electronics and Communication from the (Visvesvaraya Technological University Visvesvaraya Technological University in India.

Professional background

• Business Analyst 2

  At PayPal Client, I worked on offsite ads and embedded payment checkout projects, analyzing and launching ads across CTV, mobile, web, and desktop to increase customer activation by 60%. I contributed to agentic commerce AI, developing real-time data repositories and analytical models to capture user flows, engagement, and payment completion.I ideated and launched a referee product page, improving first-transaction completion for new customers by 65%. Additionally, I worked on customer retention and reactivation, targeting inactive users through push notifications and rewards, successfully bringing 45% of them back to the platform.

• Business Analyst 1

  At Amgen Client, I led the Request a Representative (RAR) program, selecting the best sales representatives based on zip codes to increase customer engagement. I developed a three-layered optimized data model using SQL, Python, AI chatbots, and AWS, which accelerated customer conversions and increased revenue by 80% within 11 months. I also worked on customer re-engagement, identifying non-engaged users and targeting them via emails, push notifications, and in-app messages, retaining 40% of these customers. Additionally, I trained 8+ new joiners, sharing knowledge on data models, analytics processes, and production deployment, strengthening team capabilities.

• System Engineer

  At Tata Consultancy Services, At Tata Consultancy Services, I worked with Great Southern Bank on predictive analytics for home loan churn, achieving 80% accuracy and saving $20 million in revenue. I analyzed 4 million AML e-KYC customer records to classify risk levels, preventing high-risk clients from churning and saving an additional $10 million. I also monitored real-time credit card transactions to detect fraudulent activities, protecting the bank from significant revenue losses. Through these projects, I gained hands-on experience in data analytics, risk modeling, and fraud detection, delivering measurable business impact.

Experience with R

I’m just getting started with R, and I’m really excited to explore what it can do. I want to use it for cleaning and visualizing data, which I find super interesting. Eventually, I hope to apply R to build predictive models and uncover meaningful insights. Learning R feels like a fun way to dive deeper into data science and improve my analytical skills.