About

Vamsi Varada is a highly skilled Computer Vision Engineer with a passion for developing innovative solutions to complex problems. With over 7 years of relevant experience in the field, Vamsi has a proven track record of delivering data-driven insights and solutions to a range of different machine learning problems for various Multi-National Clients. Currently working as a Data Scientist at KPMG, Vamsi has also worked as a Computer Vision Engineer at Accenture in the past. He has been actively involved in implementing models for Cognitive audit tools and insurance pricing algorithms using Object-Oriented Programming. Vamsi holds a Bachelor's Degree in Information Technology from Gitam University, where he graduated in 2015. His education has provided him with a strong foundation in the field, and he has since expanded his knowledge and skills through hands-on experience and continuous learning. Vamsi is highly proficient in a range of technologies, including Computer Vision, Research Scientist, Data Scientist, ML, Java, Android, Software Engineer, CNN, AWS, Azure, Keras, Neural Networks, RNN, Spark, MySQL, MongoDB, Mobile, AI, OpenCV, Deep Learning, NLP, Scikit, Big Data, Tensorflow, Pytorch, and Apache Hive. He is always up to date with the latest developments in the field and is constantly exploring new technologies to enhance his skills. With his extensive experience and expertise, Vamsi is a valuable asset to any team. He is a dedicated and hardworking professional who is committed to delivering high-quality solutions that meet the needs of his clients.