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Kemas Farosi is an experienced data science professional currently serving as the Lead Data Scientist at SG-EDTS since July 2019. Responsibilities include producing high-quality data science solutions, managing end-to-end data science products, and conducting internal product initiatives. Prior roles at SG-EDTS encompassed Senior Data Scientist, where Kemas led machine learning initiatives and product development, and Data Scientist, focusing on recommendation engines and video analytics. Kemas also worked at elevenia as a Data Scientist and Machine Learning Analyst, contributing to recommendation algorithms and customer behavior analysis, as well as starting as an Apprentice Advanced Analytics. Kemas began a career in research during an internship at LAPAN Indonesia in geomagnetism in 2014. Kemas holds a Bachelor's Degree in Physics from Universitas Sebelas Maret, obtained in 2016.