Summary
Chakravarthi Kanduri is a researcher and data scientist with 11 years’ experience translating complex quantitative data into practical ML and AI solutions, currently based at the Department of Informatics, University of Oslo. He combines a PhD in Informatics with applied experience building credit risk models for Nordic consumer finance and disease prediction models in clinical settings. His work spans ML method development, synthetic data generation, and consulting on data-science projects, with a recent focus on generative AI, LLM-based chatbots and RAG architectures using open-source stacks. Comfortable bridging academic rigor and production needs, he has led simulation-driven evaluations to tailor models to domain constraints. Colleagues describe him as a problem-solver who enjoys experimenting with new AI tooling and making complex methods accessible to applied teams. Open to collaborations and opportunities where rigorous data science meets real-world impact.
11 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Biotechnology, Bachelor's degree, Biotechnology at Andhra University
Doctor of Philosophy (Ph.D.), Informatics, Doctor of Philosophy (Ph.D.), Informatics at University of Helsinki
Master's Degree, Computer Science Engineering, Master's Degree, Computer Science Engineering at Aalto-yliopisto
Telugu, Hindi, English, Norwegian