About

Soumita Das is a highly skilled Software Engineer currently working at Google. With a Master of Science in Computer Science from the University at Buffalo, The State University of New York, Soumita has a keen interest in Software Development, Machine Learning, and Deep Learning. Soumita has 2.19 years of relevant experience in the industry and has previously worked as a Software Engineer at Bloomberg LP. Before that, Soumita was a Graduate Research Assistant at the University at Buffalo School of Engineering and Applied Sciences. During her time there, she implemented Transformer and Seq2Seq models to predict masked locations in user trajectories leveraging their WiFi traces. Soumita achieved an accuracy of 82% for missing locations and 93% for recreating the entire trajectories. She is currently experimenting on identifying events on campus and social relationships among users from the predicted locations. Soumita is highly skilled in various technologies, including Software Engineering, Deep Learning, and ML. Her education history includes a Bachelor of Technology in Computer Science from Heritage Institute of Technology and ISC and ICSE from Calcutta Girls' High School. Soumita's technical expertise and experience make her a valuable asset to any team. She is passionate about developing innovative solutions and staying up-to-date with the latest technologies and trends in the industry.