About

Shaurya Malik is a Data Science professional currently working as an Analyst at McKinsey & Company. He is a graduate of Columbia University, where he pursued a Master of Science in Data Science. Shaurya has always been fascinated by the immense potential of data science, and his efforts have been focused on improving his skill set to solve global problems through data exploration. Shaurya has a strong academic background in Computer Science, with a minor in Intelligent Systems. He also has corporate experience as a software engineering professional, and his research experience through personal projects has prepared him to build the data pipeline, followed by deriving and clearly communicating insightful results. In the past, Shaurya has worked as an Application Engineer at Honeywell, where he developed human-machine interfaces for thin sheet industrial processes, and worked with exploration and visualization of time series data. He has also worked in the Data Engineering team at UnitedHealth Group, where his work involved data warehouses and the ETL process, data masking algorithms, as well as data visualization with Power BI dashboards. Shaurya's past experiences also include working as a Data Scientist (Capstone Project) at Ralph Lauren, where he worked on Market Basket Analysis using frequent item-set generation and association rule mining. He has also worked as a Graduate Teaching Assistant at Columbia Engineering, where he taught Natural Language Processing. Shaurya's education history includes a Bachelor of Technology in Computer Science and Engineering from Manipal Institute of Technology, and a High School degree in Science from R.N. Podar School Mumbai and Campion School Mumbai. He has also completed a Master of Science in Data Science from Columbia University. Shaurya's tech stack includes Data Science, Research Scientist, Data Engineering, ETL, NLP, and Spring. He has 3.03 years of relevant experience in the industry.