Tirthajyoti Sarkar
Senior Director of AI/ML at Rhombus Power
Expertise: AI, machine learning, data science, Python, statistical models, deep learning, machine learning ops.
Education: University of Illinois, Chicago

Tirthajyoti Sarkar is a senior director for AI and machine learning at Rhombus Power who has more than 17 years of experience in the industry. Sarkar has previously worked as a data science and solutions engineering manager for Adapdix Corporation and as a senior principal engineer for ON Semiconductor. He has also served as machine learning lecturer for ValleyML. Sarkar has a doctorate in electrical engineering from the University of Illinois-Chicago, and a master’s in analytics from Georgia Institute of Technology.   

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A data scientist using Benford's law to detect fraud.
What Is Benford’s Law and Why Is It Important?
Benford’s Law tells us about the expected distribution of significant digits in a diverse set of naturally occurring data sets. Here’s why that’s important.