Saye Sharan

Saye Sharan is a Data Scientist at LG Ads Solutions since July 2021, specializing in text-based ad classification, data analysis, and time series analysis. Notable projects include developing a transformer-based model for ad-classification using BERT, creating a time series outlier detection tool, and analyzing NBA Finals viewership trends. Prior experience includes a role at Karomi Technology Private Limited, where Saye developed a custom object detector for artwork management, and leadership positions in finance-focused roles at IIT Madras. Saye holds an MTech in Data Sciences and a BTech in Mechanical Engineering from IIT Madras.