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Navya Chalamalasetty, with an undergrad in Electronics and Communication Engineering and 2 years of experience in IT, now delves into Data Science through her ongoing master's. She is one of the course facilitators at CU Â鶹ӰԺ for Statistical courses like Probability Theory: Foundation for Data Science (DTSA 5001), Statistical Inference for Estimation in Data Science (DTSA 5002) and Statistical Inference and Hypothesis Testing in Data Science Applications (DTSA 5003) within the online MS-DS program on Coursera. Beyond academia, she loves traveling and painting with a special fondness for the intricate beauty of mandala arts.