Rajesh Parvathini is a seasoned AIML leader with over 17 years of cross-industry experience spanning Retail, CPG, Insurance, Oil & Gas, QSR, and Banking. Operating at the intersection of deep technical rigor and commercial strategy, he currently serves as a Partner in AI/ML at Tiger Analytics. In this role, he leads a multidisciplinary team of data scientists, machine learning engineers, and application developers to build next-generation solutions that deliver measurable value to the clients.
Throughout his career, Rajesh has solved multi-dimensional problems across industries. His portfolio of projects includes geospatial optimization for oil drilling, anomaly detection for security data science, real-time intent detection for call centers, and personalized product and promotional recommendations for the Retail and QSR sectors. His current focus is reframing classical data science problems within autonomous, agentic frameworks.
A cornerstone of Rajesh’s leadership philosophy is mentorship, where he focuses on fostering a culture of continuous learning and technical excellence within his teams. An alumnus of the National Institute of Technology (NIT), Warangal, with a B.Tech in Electronics and Communication Engineering, Rajesh has built a distinguished career that includes impactful roles at Optum, Millward Brown, and Inductis.
