Working in Supply Chain Analytics Team. I am working on several projects to solve the complex labor planning and scheduling at Distribution centers (DCs) and stores across the US and international regions through data science. In one of the projects, I implemented a Machine Learning model to forecast store trailers for 3845 stores. It helped Walmart to reduce the overall cost of store labor planning by $500K and planning time by 75% every year. I also worked on existing solutions to improve the… Show more Working in Supply Chain Analytics Team. I am working on several projects to solve the complex labor planning and scheduling at Distribution centers (DCs) and stores across the US and international regions through data science. In one of the projects, I implemented a Machine Learning model to forecast store trailers for 3845 stores. It helped Walmart to reduce the overall cost of store labor planning by $500K and planning time by 75% every year. I also worked on existing solutions to improve the prediction accuracy as well as model runtime. Currently working on Fulfillment center project which handles Walmart e-commerce demands. Show less

Worked on design and coding of machine learning module to automate the server resource requirements in near future with a significant confidence interval. Also worked on Anomaly detection in server resources and RCA to understand the underlying outage scenarios. This helped businesses to understand and avoid any such outages in the future and helped them to save significant costs.

Worked as Data Science Engineer. Passionate about coding and R&D in Machine Learning, Big data. Worked on building the fast data pipeline using Spark, Kafka, and Hadoop with an objective to run Machine Learning/NLP algorithm on it.

Worked on building "Human and Non-Human sound detection" using a predictive modeling approach. Worked on data gathering, Exploratory Data Analysis, Outlier Removal, and final model building. Also, the further improvements and communication to stakeholders.