Hammad Ali Baig is a data scientist at i2c Inc. since November 2021, where notable contributions include the implementation of a TabNet Deep Learning model in a Spark-based Fraud Engine, resulting in a $150,000 annual reduction in fraud losses and a custom loss function achieving a 10% fraud capture rate. Previous experience includes an internship at IBM in July 2018, focusing on supporting IBM Cloud initiatives and deploying SaaS applications with Machine Learning technologies, as well as an internship at Avanceon in June 2017, assisting in PLC-based projects for industrial automation. Hammad holds a Bachelor of Science degree in Electrical and Electronics Engineering from Bilkent University, earned between 2015 and January 2021, and completed A levels in Science at Nixor College from 2013 to 2015.
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