About

Swarnim Narayan is an Applied and Data Scientist at Microsoft with over 7 years of relevant experience. He holds a Bachelor's degree in Computer Science engineering and a Master's degree in Physics from Birla Institute of Technology and Science, Pilani. He has a strong foundation in pure and applied Mathematics and is capable of executing business-critical, qualitative or quantitative, complex analytical assignments in multiple fields, including Software Engineering and Data Science. Swarnim is a business technologist with a rigorous and scientific approach to solving problems that are constrained by practical organizational challenges like resource and budget crunches and tight timelines. He is a strong believer in a business metric-driven, lean, and iterative approach to product engineering. Swarnim loves to utilize new technologies where applicable but is cautious about overengineering software. As a software engineer, Swarnim loves developing code from scratch and also enjoys refactoring complex and legacy codebases of live running systems. He is comfortable making code and architectural changes in sensitive pieces that lie deep within such live systems. As a data scientist, he has rich experiences in building predictive models for complex problems that require massive amounts of feature engineering. He is rigorously trained in the mathematics of Machine Learning, Statistics, and Probability. Swarnim is very good at building models with 'reason' as opposed to 'hit and trial'. He has a deep mathematical understanding of the bleeding-edge subfields of Machine Learning like Deep Networks. Prior to joining Microsoft, Swarnim worked as a Senior Machine Learning Engineer and Data Scientist at Walmart and as a Software Engineer 2 at eBay. He has a diverse TechStack that includes Data Scientist, Research Scientist, ML, and Software Engineer. Overall, Swarnim is a highly skilled and experienced Applied and Data Scientist with a strong foundation in Mathematics and a scientific approach to solving complex problems. He is a valuable asset to any organization looking to leverage his expertise in Software Engineering and Data Science.