About

Rajkamal Kareddula is an Associate Research Engineer at ezDI Inc, specializing in healthcare solutions. With a Bachelor of Technology in Computer Science and Engineering from the National Institute of Technology in Raipur, Rajkamal has gained over 3 years of relevant experience in the field. During his time at ezDI, Rajkamal has worked on a project called Patient Case Similarity, which involved using unsupervised clustering algorithms such as Self-Organising Maps to identify patient records with similar medical problems. He also utilized the Word2Vec model to encode medical terms. Prior to this, Rajkamal worked as a Research Intern at ezDI, where he gained experience in various aspects of machine learning, including natural language processing and data clustering. Rajkamal has also completed a Machine Learning Internship at Fathom, where he worked on unsupervised topic clustering. He used Google Speech to Text API to convert audio reviews to textual form, which were then encoded using Word2Vec and passed on to the k-means clustering algorithm for clustering. The generated clusters were assigned meaningful names using Term Frequency-Inverse Document Frequency (TF-IDF). Rajkamal's educational background includes a Bachelor of Technology in Computer Science and Engineering from the National Institute of Technology in Raipur, as well as an Intermediate degree in MPC (Maths, Physics, and Chemistry) from N.L.V.R.G.S.R.V Jr College and a High School degree from Sri Chaitanya Techno School in India. In terms of technical skills, Rajkamal is well-versed in research science, Word2Vec, and machine learning. He is a highly motivated individual with a strong work ethic and a passion for solving complex problems in the healthcare industry.