Moinak Pyne currently serves as the Lead Data Scientist at McKesson since November 2024, following a progression through various roles in data science, including Senior Data Scientist and Data Scientist at McKesson and Peak. Moinak Pyne has extensive experience in inventory optimization, revenue forecasting, and failure mode classification, utilizing advanced modeling techniques such as Monte-Carlo simulations, SARIMA, and ensemble forecasting. Previous roles included significant contributions at PACCAR, leading to substantial cost savings, along with academic experience as a Teaching and Research Assistant at the University of Texas at Dallas and a Visiting Research Scholar at Ohio State University. Moinak Pyne holds a PhD in Electrical Engineering, a Master's in Electrical and Electronics Engineering, and a certification in Data Product Management.
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