About

Naveen Gabriel is a highly skilled Machine Learning Engineer with a passion for solving real-world data problems. He completed his MSc. in Statistics and Machine Learning from Linkoping University, Sweden in August 2020, where he also completed his master thesis in NLP with Worldish. With a strong foundation in machine learning and statistics, Naveen has an exceptional ability to analyze data and provide insights. He is proficient in programming languages such as R and Python. Currently, Naveen is working full-time with Quantrium, where he is focused on solving problems in Computer Vision. He is also a Scrum Master at the company, where he uses his excellent communication and leadership skills to facilitate the team's workflow. Before joining Quantrium, Naveen worked as a Build and Release Engineer with TCS, Bengaluru, where he gained over three years of professional experience. Naveen's education history includes a Master's degree in Statistics and Machine Learning from Linkoping University and a Bachelor of Technology in Computer Science and Engineering from Rajiv Gandhi Institute of Technology. He also attended Chinmaya Vidyalaya for his secondary education. Naveen's technical skills are diverse and include ML, Python, Computer Vision, MongoDB, NLP, Keras, Kafka, Scikit, RabbitMQ, Kubernetes, Tensorflow, SQL, Blockchain, Selenium, MapReduce, CI/CD, and Javascript. With over seven years of relevant experience, Naveen is a valuable asset to any team looking to solve complex data problems.