About

Romil Nagar is a highly enthusiastic data science professional with a strong background in mathematics and statistics. With a passion for computer vision, he is currently working as a Machine Learning Engineer at neuroequilibrium™ diagnostic systems pvt ltd, where he is using AI and ML techniques to predict various diseases based on the walking patterns of subjects. Romil has gained a wealth of experience in the field of data science, having previously worked as a Junior Machine Learning Engineer at Toch.ai and a Big Data Analyst at Capgemini. At Toch.ai, he worked on cellular neural networks and computer vision libraries such as OpenCV and FFmpeg. He also has experience in feature extraction, image segmentation, object detection, pattern recognition, and 3D geometry, as well as OpenGL. At Capgemini, he was responsible for gathering and processing raw data at scale, designing and developing data applications using selected tools and frameworks, and analyzing processed data. Romil holds a Bachelor of Technology in Computer Science from Manipal University, where he graduated in 2020. His technical skills include ML, Computer Vision, AI, Deep Learning, Object Detection, Python, Data Scientist, Search, SQL, Big Data, Tensorflow, Neural Networks, AWS, Pytorch, Keras, Image Processing, Scikit, Docker, Research Scientist, ETL, Mobile, and Web. With 3.44 years of relevant experience, Romil is seeking an internship in the field of data science, where he can apply his skills and knowledge to real-world problems. He is a hardworking and dedicated individual who is always looking for new challenges and opportunities to learn and grow.