Summary
Parvathy Sarat is a Senior Data Scientist with eight years of experience applying ML and NLP to enterprise and research problems, currently building NLP solutions at Alcon. She combines production-focused engineering—architecting chatbot back-ends on AWS and merging call-center transcripts with sales data—with academic research in open-domain question answering at Georgia Tech. Her background spans applied analytics roles at EY and impactful nonprofit work extracting safety insights via NLP, showing a track record of turning messy text into actionable signals. Comfortable across cloud infrastructure, Python toolchains, and teaching, she brings both hands-on implementation skills and a habit of explaining complex ideas clearly. Notably, she transitioned from a top-ranked civil engineering undergraduate to advanced computational data analytics, reflecting strong quantitative foundations and intellectual curiosity. Colleagues describe her as driven by work that makes her glad to be alive—she seeks projects that are both technically challenging and meaningfully useful.
8 years of coding experience
5 years of employment as a software developer
ICSE : 94.6% ISC (Computer Science) : 94.8%, ICSE : 94.6% ISC (Computer Science) : 94.8% at Holy Angels' ISC School, Nanthencode
MS Computational Data Analytics, 3.91/4.0, MS Computational Data Analytics, 3.91/4.0 at Georgia Institute of Technology
Bachelor of Technology, Civil Engineering, 9.36/10 (Rank: 4/2051), Bachelor of Technology, Civil Engineering, 9.36/10 (Rank: 4/2051) at College of Engineering, Trivandrum