About

Prathyusha Barre is a highly skilled Data Scientist with over 4 years of relevant experience in the field. Currently, she is working as an Artificial Intelligence Specialist at Intel, where she is responsible for developing and implementing AI-based solutions for various projects. Prathyusha completed her Bachelor's degree in Electrical Engineering from the prestigious Indian Institute of Technology, Bombay. She is proficient in Operations Management, Python, Data Analysis, Machine Learning, Deep Learning, OpenCV, Graph DB modelling, Data Interpretation, Data Structures and algorithms, MongoDB, and Neo4j. Before joining Intel, Prathyusha worked as an Artificial Intelligence Engineer at Lishash, a music app that uses a combination of human and AI algorithms for recommendations. As a core team member, she led all the backend aspects of the application and designed a pipeline to get new tracks and store them in MongoDB and Neo4j. She also solved the problem of cold start using context preferences and recommended the next track to the user without interrupting their overall music experience. Prathyusha also worked as a Junior Software Engineer at Racetrack, where she analyzed data using Machine Learning algorithms and worked with Neo4j software for Data modelling and Schema design. She also worked on exciting and challenging projects that involved Computer Vision. Prathyusha is proficient in various tech stacks, including Data Scientist, Research Scientist, Python, AI, Deep Learning, ML, OpenCV, MongoDB, Neo4j, Computer Vision, Random Forest, Backend, Software Engineer, SQL, Search, Supervised Learning, Senior Software Engineer, CNN, Image Processing, NLP, and Neural Networks. Overall, Prathyusha is a highly talented and experienced Data Scientist who is passionate about using AI to solve complex problems. She is a valuable asset to any team and is always looking for new challenges to take on.