Summary
Nirisha Eppalapalli is a data-driven revenue operations and analytics professional with nine years of experience blending data science, ML, and business insight to drive measurable outcomes. Holding an MS from Carnegie Mellon in Information Systems with a focus on BI and data analytics, she has transitioned from big data and ML internships into senior data science and global revenue operations roles across tech and enterprise firms. Her background spans building data models and visualization solutions for clients, ML engineering and algorithm development, and operational analytics for global revenue teams. Based in the Dallas–Fort Worth area, she brings both hands-on technical skill—NLP and machine learning—and a business-oriented perspective that aligns analytics to go-to-market impact. Notably, she has moved between deep technical roles and revenue-focused analytics, which makes her adept at translating complex models into actionable commercial insights.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS Management Information Systems, Bachelor of Science - BS Management Information Systems at The University of Texas at Arlington
High School Diploma, High School Diploma at Uplift Education-North Hills Preparatory High School
Master of Science - MS Information Systems Business Intelligence and Data Analytics, Master of Science - MS Information Systems Business Intelligence and Data Analytics at Carnegie Mellon University - Heinz College of Information Systems and Public Policy