About

Prashant Shaw is an experienced Machine Learning Engineer with a strong engineering background. He holds a Bachelor of Technology (B.Tech.) in Computer Science and Engineering from the prestigious Indian Institute of Technology, Patna. With over 7 years of relevant experience, Prashant has a demonstrated history of working in the software industry. Currently, he works as a Machine Learning Engineer at Dell and holds the position of Advisor, Data Science. Prashant's expertise lies in Apache Kafka, Java, Apache Spark, HBase, and Scala. He has a strong understanding of ML and Data Science concepts and is proficient in using them to solve real-world problems. He has worked on several projects, including the Event Streaming Platform for Apple Inc, where he designed and implemented an intelligent and robust near-to-real-time event streaming platform using Apache Spark, Kafka, and Scala as the programming language. He also designed HBase (No SQL) tables to handle a vast amount of data and leveraged features of HBase like bulk get and bulk put for faster reads and writes. Additionally, he wrote Spark Streaming jobs to process incoming data as Kafka streams, sanitize data, and write the sanitized and processed data to HBase. Prashant is also skilled in writing distinct Spark Batch jobs to perform multiple operations on sanitized data, including the Aggregation Spark job, which performs time-based roll-up on sanitized data. He has implemented various Time Series Algorithms such as Holts-Winter Seasonal method, Triple Exponential Smoothing, and Single Exponential Smoothing algorithm and has also implemented Confidence band intervals code using the above-mentioned Time Series Exponential Smoothing Algorithms. He has also designed and implemented a failover mechanism for Spark jobs using Kafka and implemented logging for Spark master and executors for future troubleshooting. Prashant has also worked as a Software Engineer at Tata Consultancy Services-Apple Account and was responsible for the Admin Tool Rewrite for Apple World Wide Developer Relations from Struts and Hibernate to JAX-RS framework using Jetty. He has a strong understanding of the old architecture of the app to provide a good implementation of the app in JAX-RS and has written optimized SQL queries to handle enormous production data. Prashant is currently pursuing a Master of Technology in Artificial Intelligence and Machine Learning from Birla Institute of Technology and Science, Pilani, which is expected to be completed in 2024. His tech stack includes ML, Data Scientist, Spark, Kafka, Scala,