Suraj Didwania is a Senior Data Scientist at Gradle Inc. since September 2022, where a significant achievement includes the development of an End-to-End Predictive Test Selection Machine Learning Model, resulting in a 60% reduction in CI testing time and a recall rate of 0.99. Prior experience at Samsung Electronics involved leading a team in semiconductor analysis using Ensemble Modeling and Deep Neural Networks. At Access TeleCare, Suraj developed a Bayesian deep prediction model for patient demand forecasting that improved prediction accuracy by 30%. Earlier roles included a Machine Learning Engineer position at Yantriks, where an ATP Recommendation Engine was implemented, and a Machine Learning Intern role at JCPenney focused on time series data processing with LSTM. Suraj's career began at Credit Suisse as a System Engineer and included an internship in Cloud Service Engineering at Sify. Suraj holds a Master’s Degree in Computer Science from the Illinois Institute of Technology and a Bachelor’s Degree in Computer Science and Engineering from SRM IST Chennai.
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