Summary
Venugopal Rajaraman is a pragmatic Data Scientist with 15+ years across analytics, machine learning, contact center systems and full SDLC delivery, currently applying probabilistic and deep learning methods on Azure Databricks to drive energy and capacity forecasts. He blends hands-on engineering—Java, C#, Hadoop/Spark, TensorFlow/Keras and R/Python—with domain expertise in IVR, CTI and Genesys/Cisco contact center design to improve self-service and routing using Markov chains, GMMs and graph algorithms. A Cloudera-certified Hadoop developer who has built chat‑bot and OCR POCs and published thought leadership on “Hadoop in Contact Center” and ML for customer care, he excels at turning operational datasets into production-ready ML pipelines. Notably, he has repeatedly bridged legacy contact-center stacks and modern ML platforms to reduce operational friction and energy footprint, making him a strong choice for organizations modernizing customer operations or building applied ML solutions.
9 years of coding experience
14 years of employment as a software developer
Govt Higher secondary school, Saliyamangalam
Bachelor in Mech Engg, Bachelor in Mech Engg at Institute of Road and Transport Technology