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 states that digits with smaller values are more likely to be the lead digit in a data set than digits with larger values. Here’s when to use the law, when not to use it and why it matters.