About

Sushant Gakhar is a highly skilled Machine Learning Engineer with a passion for data-driven intelligence and a particular interest in statistical methods for Machine Learning. He has extensive experience working with neural network-based techniques and is always eager to develop cutting-edge solutions for data-centric challenges. Sushant is currently employed as a Software Engineer at Bloomberg LP, where he continues to expand his knowledge of Machine Learning and work on projects that provide him with hands-on experience. Prior to this, he worked as an Associate Instructor at Indiana University Bloomington, where he honed his skills in Machine Learning and gained valuable experience working on various projects. During his time as a Data Science Intern at EXL, Sushant developed a prototype for a Visual Search System that retrieves similar results based on query image semantics. He also worked with quantized neural networks to create binary embeddings and developed a hierarchical search algorithm for faster retrieval of matches. Sushant holds a Master of Science degree in Data Science from Indiana University Bloomington and a Bachelor of Technology degree in Information Technology from Manipal Institute of Technology. He is highly skilled in ML, Software Engineering, Neural Networks, Data Science, and Search. With 2.78 years of relevant experience, Sushant is a valuable asset to any team looking to tackle data-centric challenges. He is a hardworking and dedicated professional who is always eager to take on new projects and expand his knowledge in the field of Machine Learning.