About

Arnav Garg is a highly skilled Data Science master's student at the University of Melbourne, with expertise in Machine Learning, Computer Vision, and Neural Networks. He is currently seeking job opportunities and internships in the field of business analyst, data analyst, and machine learning engineer. Currently, Arnav is working as a Data Scientist at the Walter and Eliza Hall Institute (WEHI), where he is responsible for creating algorithms for object detection and cell split detection in 3D images of cells in a channel. Additionally, he performs image segmentation to remove noise from images. Arnav has also previously worked at WEHI as a Data Scientist, where he developed a Neural Network model to predict the hierarchy of a cell from its barcode data. He has also implemented new features to the Data Analytics app, including the implementation of new graphs and added a concise report generation feature to give a quick glance at data. Arnav has a Bachelor of Technology in Computer Science from SRM University and is currently pursuing a Master of Science in Data Science from the University of Melbourne. His education has provided him with a strong foundation in the field of data science and has equipped him with the necessary skills to excel in his current role. Arnav's technical skills include Data Scientist, Research Scientist, ML, Computer Vision, Neural Networks, Object detection, and Image Segmentation. He has relevant experience of 1.78 years, which has helped him develop a strong understanding of the industry and its requirements. Overall, Arnav is a highly motivated and skilled individual who is passionate about data science and machine learning. He is always looking for new challenges and opportunities to learn and grow in his field.