About

Gautam Kumar is a highly skilled Data Scientist at Walmart Global Tech with a passion for solving complex business problems using Machine Learning and Deep Learning. With over 7 years of relevant experience, Gautam has worked on several projects to solve labor planning and scheduling issues at distribution centers and stores across the US and international regions through data science. Gautam's notable achievements include implementing a Machine Learning model to forecast store trailers for 3845 stores, which helped Walmart reduce the overall cost of store labor planning by $500K and planning time by 75% every year. He also worked on existing solutions to improve prediction accuracy and model runtime. Currently, Gautam is working on the Fulfillment center project that handles Walmart e-commerce demands. Prior to joining Walmart, Gautam worked as a Data Scientist at Appnomic Systems, where he designed and coded machine learning modules to automate server resource requirements with a significant confidence interval. He also worked on anomaly detection in server resources and RCA to understand underlying outage scenarios, helping businesses avoid such outages and save significant costs. Gautam also worked at Cognizant as a Data Science Engineer, where he built a fast data pipeline using Spark, Kafka, and Hadoop with an objective to run Machine Learning and NLP algorithms on it. Gautam graduated from IIT Bhubaneswar with a Bachelor of Technology degree in 2016. He is highly proficient in technologies such as Spark, Python, Scikit, Pandas, Neural Networks, Kafka, Keras, HDFS, Big Data, Jupyter, NLP, MySQL, Hadoop, Elastic Search, Search, Integration, Mobile, and Web. Gautam's expertise in these technologies makes him an invaluable asset to any data science team.