About

Ganesh A Sundar is a highly experienced Machine Learning Engineer with over 10 years of relevant experience. He is currently working as a Machine Learning Engineer II at Spotify in New York City, where he is responsible for developing and implementing Machine Learning solutions to improve the platform's performance. His interests lie in Machine Learning, Deep Learning, and Bayesian Inference. Ganesh has a proven track record of delivering successful Machine Learning projects. In his previous role as a Senior Machine Learning Engineer at Dailymotion, he led the design and development of a large-scale Machine Learning system for a novel server-to-server header bidding Real-time bidding (RTB) platform. He developed several yield optimization models that increased revenue for publishers by more than 50% and bid prediction models designed as multi-class classification problems to identify relevant bidders for a given auction, reducing network costs by nearly 30%. Ganesh is also experienced in researching and prototyping the generation of synthetic data using Variational Autoencoders (VAEs) while working with datasets of a limited size. Before joining Dailymotion, he worked as a Senior Data Scientist at Future, where he gained experience in data analysis and modeling. Ganesh holds a Master of Science degree in Electrical & Computer Engineering from Rutgers University and a Bachelor of Engineering degree in Telecommunication Engineering from Visvesvaraya Technological University. He possesses a strong technical background in Machine Learning, Deep Learning, Data Science, and Research Science. Overall, Ganesh is a highly skilled Machine Learning Engineer with a proven track record of delivering successful projects. He is passionate about Machine Learning and is always looking for new ways to apply his skills to drive business value.