About

Kaustav Saha is a Principal Data Science Engineer at Cowbell, with a passion for using technology to drive radical business impact. With two technical graduate degrees and currently pursuing his third graduate degree, Kaustav is a machine learning enthusiast with expertise in Artificial Intelligence, Machine Learning, and Big Data. He has worked in both product and service-based companies, including technology giants like Apple and small-scale companies, with professional experience in Network, Health-Care, and E-Commerce data. Kaustav's main technical research interest is in Unsupervised Learning, and he is keen to learn about Venture Capital. He is also a CFA Level-1 and Level-2 candidate, with a strong interest in financial analysis. As a Principal Data Science Engineer at Cowbell, Kaustav reports to the Chief Product Officer and is bringing AI to Cyber-Insurance. In his previous roles, Kaustav has worked as a Senior Data Engineer at Apple, where he fine-tuned Spark jobs to improve production performance of data pipelines and worked in the Kubernetes migration of existing Spark jobs. He has also worked as a Data Scientist at eBay, where he designed and built a model to optimize inventory while fulfilling increased demand and developed NLP models on search queries to establish correlation between search keywords and checkouts. Kaustav's educational background includes a Master of Business Administration (MBA) from the University of California, Berkeley, Haas School of Business, with a focus on General Management, Innovation, and Strategy. He also holds a Master of Science in Data Science from the University of Virginia and a Bachelor of Technology (Hons.) and Master of Technology in Computer Science & Engineering from the Indian Institute of Technology, Kharagpur. Kaustav's tech stack includes Data Scientist, ML, Spark, AI, Research Scientist, Kubernetes, Big Data, product manager, Data Engineering, Search, Stemming, and NLP. With 6.54 years of relevant experience, Kaustav is a highly skilled and motivated Principal Data Science Engineer with a strong interest in using technology to drive business impact.