About

Unmesh Padalkar is a highly skilled data scientist with a strong background in statistics and programming. He is an expert in scaling applied machine learning solutions and has extensive experience in implementing state-of-the-art models. Currently, he is working as a Senior Data Scientist at Wayfair, where he splits his time between developing and deploying machine learning models and collaborating with data engineers to ensure successful production deployment. Unmesh's expertise in programming languages such as Python, Java, R, and SQL, combined with his knowledge of cloud and distributed frameworks like GCP, Spark, Hive, and Hadoop, makes him a valuable asset to any team. He is also proficient in deep learning frameworks such as PyTorch and Ray-Tune. Unmesh has a proven track record of success, having previously worked as a Data Scientist at Wayfair and as a Data Science Contributor for the e-commerce division of Pitney Bowes. He implemented natural language processing (NLP) techniques such as word2vec and TfIdf in Python for the consolidation of over 3 million products under universal product taxonomy. Unmesh is a graduate of Cornell University, where he earned a Master of Engineering in Operations Research in 2019. He also holds a Dual Degree in Mechanical Engineering from the Indian Institute of Technology, Bombay, where he graduated in 2016. In summary, Unmesh Padalkar is a research scientist and data scientist with 4.86 years of relevant experience in machine learning, deep learning, NLP, and Apache Hive. He is a skilled professional with exceptional technical abilities and a proven track record of success in the industry.