About

Shivasheesh Yadav is a skilled Data Engineer with over 5 years of experience in the field. He is currently working at Catawiki, where he specializes in distributed data processing and is well-versed in Apache Spark. As an open-source contributor, he is always looking for ways to improve his skills and knowledge. Shivasheesh is a polyglot, with expertise in various technologies such as HDFS, Kafka, Elastic Search, and Spring. He has developed an app called Eleanor, which helps users find the safest route and was selected in the top 100 startup ideas of the world at Startup Istanbul 2017. He also won the Nokia Innovation Challenge in 2016 under the university category. Prior to his current role, Shivasheesh worked as a Data Engineer at Rakuten, where he built real-time data pipelines for analytics dashboards and designed fault-tolerant end-to-end data pipelines for real-time anomaly detection using machine learning. He also developed Spark applications for streaming data, preprocessing, and machine learning models training. As a Data Science Intern at Rakuten, Shivasheesh developed a machine learning model for predicting the next purchase of a customer and conducted market basket analysis. He also created a workbench for easy interaction with the models and the visualization of results. Shivasheesh holds a Bachelor of Engineering degree in Information Technology from the University Visvesvaraya College of Engineering, where he graduated in 2018. He also completed the All India Senior School Certificate Examination in Computer Science from Kendriya Vidyalaya in 2014. With his extensive experience and expertise in data engineering and machine learning, Shivasheesh is a valuable asset to any organization. He is always eager to learn and grow, and his passion for technology is evident in his work.