Summary
Sherin Varughese is a Senior Data Scientist with eight years of experience building end-to-end data solutions across enterprise environments, currently advancing analytics at Red Hat after prior data science roles at IBM. She combines deep data warehousing and ETL expertise from early roles at Infosys and Deloitte with applied statistical modeling in R, SAS and Python, enabling reliable pipelines from source analysis to business-facing reports. Sherin’s background in information science (Carnegie Mellon) and statistical coursework at NC State underpin her ability to translate technical findings to non-technical stakeholders and drive actionable insights. Notably, she has transitioned from hands-on ETL implementation for large migrations to productionizing analytics at scale, blending pragmatic engineering discipline with a curiosity for new techniques. Located in the Raleigh-Durham area, she brings both enterprise rigor and a track record of cross-functional collaboration to solve complex data problems.
8 years of coding experience
Bachelor’s Degree, Biomedical/Medical Engineering, Bachelor’s Degree, Biomedical/Medical Engineering at SAHRUDAYA COLLEGE OF ENGG & TECH., KODAKARA
Non Degree Student, Statistical Methods, Non Degree Student, Statistical Methods at North Carolina State University
Master’s Degree, Information Science/Studies, Master’s Degree, Information Science/Studies at Carnegie Mellon University - H. John Heinz III College
English