Kamaneeya Kalaga

Kamaneeya Kalaga is a skilled Data Scientist and Machine Learning Analyst currently at Biomotivate, specializing in model design and fine-tuning to predict early treatment dropouts using patient physiological data. Previously, Kamaneeya served as a Data Analyst for the CDC Foundation, creating data visualizations for COVID mortality reports and employing the Farrington algorithm to estimate excess deaths. Kamaneeya holds a Master of Science in Healthcare Analytics and Information Technology from Carnegie Mellon University, where an impressive GPA of 3.95 was achieved. Additional experience includes roles as a Data Science Intern at Biomotivate, Online Learning Coordinator at Mosaica Education, and Consultant at PwC, alongside internships focusing on biostatistics and medical records. Educational qualifications also include a Bachelor of Pharmacy from the Birla Institute of Technology and Science, Pilani.