About

Onkar Deshpande is an Associate Product Manager at Walmart Labs with a strong background in Data Science and Machine Learning. He is a graduate of Stony Brook University, where he majored in Applied Mathematics and Statistics with a focus on Statistics. Onkar has over 5 years of relevant experience and has worked for companies like Express Scripts and Affine Analytics in the past. Onkar has a strong understanding of machine learning algorithms such as gradient boosting methods, logistic/linear regression, SVM, K-means and agglomerative clustering. He is also skilled in statistical modelling, text analytics, and deep learning. Onkar has used a variety of technologies and tools such as Teradata, R, Python, LightGBM, Tensorflow, Keras, Random Forest, PySpark, and Google Cloud Platform. At Express Scripts, Onkar worked in the Enterprise Data Science Team and built therapy level models to identify the propensity of a member to respond to various types of interventions. He also worked on a project that aimed to give a holistic overview of population and clinical outcomes guarantees. At Affine Analytics, Onkar worked as a Data Scientist for Sears Holdings in the Retail domain. He built a model called Member Scoring Model (MSM) to identify loyal members to every business unit of Sears and K-mart stores. He also worked on building a gradient boosting model to capture the member engagement over mailers sent for Shop-Your-Way, Sears and K-Mart. Onkar has a Dual degree (BTech + Mtech) in Industrial Engineering from the Indian Institute of Technology, Kharagpur. He also has a Master's degree in Applied Mathematics and Statistics from Stony Brook University. Onkar is proficient in English, Hindi, and Marathi. Overall, Onkar Deshpande is a highly skilled Associate Product Manager with a strong background in Data Science and Machine Learning. He has a proven track record of building models and algorithms that have helped companies increase adherence to medications and identify loyal members. Onkar is a valuable asset to any team that requires his expertise.