Summary
Vamsi Chinthalapalli is an IT Transition Lead and AI-focused solution architect with 10 years of experience delivering analytics-driven transformations across utilities and enterprise domains. He has led end-to-end migrations from QlikView to Power BI, automated reporting with Python, and governed Power BI estates to improve compliance, performance, and self-service analytics. Vamsi’s work spans meter data forecasting, billing and revenue assurance, asset intelligence, and real-time telemetry dashboards—turning complex systems like CC&B, Maximo, Oracle EBS and MDM into actionable insights. A Deakin Master of Data Science and alumnus of UT Austin’s AI program, he blends rigorous academic AI training with practical delivery, often enabling teams through workshops and knowledge transfer. Based in Dublin, he currently drives IT transition at Uisce Éireann, where his uncommon strength is pairing technical architecture with pragmatic change management to preserve continuity while accelerating modernisation.
10 years of coding experience
7 years of employment as a software developer
Post Graduate Program in Artificial Intelligence and Machine Learning, Artificial Intelligence, Excellent, Post Graduate Program in Artificial Intelligence and Machine Learning, Artificial Intelligence, Excellent at The University of Texas at Austin
Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering, 8.19 CGPA or 81.9 %, Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering, 8.19 CGPA or 81.9 % at Gandhi Institute of Technology & Management (GITAM) University, Visakhapatnam
Master of Data Science (Global), Data Science, Artificial Intelligence, Excellent, Master of Data Science (Global), Data Science, Artificial Intelligence, Excellent at Deakin University
Post Graduate Program in Artificial Intelligence and Machine Learning, Artificial Intelligence, Excellent, Post Graduate Program in Artificial Intelligence and Machine Learning, Artificial Intelligence, Excellent at Great Learning
English, Hindi, Telugu