Anand Sakhare is a data-focused engineering professional with 12 years of experience who currently drives data analytics and cloud adoption as Professional Services III at AWS in New York. He combines hands-on machine learning and data engineering skills (Python, R, TensorFlow, SQL) with a strong background in enterprise systems from Accenture—where he led automation efforts that saved multiple FTEs—and SAP utilities/CRM experience. A Carnegie Mellon MISM (BIDA) student and former Pittsburgh Supercomputing Center intern, he has practical HPC and distributed TensorFlow experience used to benchmark and scale deep learning across heterogeneous hardware. He contributes to AWS data-lake and QuickSight automation projects and maintains open-source samples that help customers deploy ETL and analytics workflows. Known for bridging research-grade performance tuning with production cloud architectures, he’s actively pursuing full-time roles in Data Science and ML where he can blend analytics rigor with operational impact.
12 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (B.Tech.) electronics and telecommunication, Bachelor of Technology (B.Tech.) electronics and telecommunication at Vishwakarma Institute Of Technology
Master of Information Systems Management Business Intelligence and Data Analytics, Master of Information Systems Management Business Intelligence and Data Analytics at Carnegie Mellon University - Heinz College of Information Systems and Public Policy
Contributions:31 commits, 18 pushes, 1 branch in 6 months
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Anand Sakhare - Professional Services III, Data Analytics