Murali Pasupuleti is a seasoned data scientist with significant expertise in machine learning and data analytics across various industries. Currently serving as the Lead Data Scientist – Machine Learning at GM Financial, Murali builds end-to-end machine learning and deep learning pipelines for natural language processing utilizing advanced frameworks like XGBoost and PyTorch. Prior experience includes a role as Senior Data Scientist at Alarm.com, where Murali developed full-stack data science solutions for smart home technologies and employed sophisticated algorithms for audio and video data analysis. Earlier positions involved predictive analytics and data modeling at Pimsoft Inc. and Schlumberger, focusing on statistical process control and optimal manufacturing processes. Murali holds a Master’s degree in Electrical Engineering from Texas A&M University and a Bachelor’s degree in Electrical and Electronics Engineering from the National Institute of Technology Warangal.
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