How can machine learning improve hospital supply chains and reduce costly disruptions in medical equipment?
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Nidhi Shashikumar is a data science professional with experience in healthcare, biotechnology, and medical technology. She currently works as a Business Intelligence Analyst at Becton, Dickinson and Company (BD), where she focuses on data-driven solutions to improve operational efficiency and patient outcomes. Her expertise includes predictive analytics, data visualization, and supply chain optimization. Nidhi has previously worked with organizations such as Amgen, Gilead, Cepheid, and Outset Medical. She is passionate about applying data science to solve real-world healthcare challenges and advancing innovation in medical systems.

Nidhi Shashikumar is a data science professional with experience in healthcare, biotechnology, and medical technology. She currently works as a Business Intelligence Analyst at Becton, Dickinson and Company (BD), where she focuses on data-driven solutions to improve operational efficiency and patient outcomes. Her expertise includes predictive analytics, data visualization, and supply chain optimization. Nidhi has previously worked with organizations such as Amgen, Gilead, Cepheid, and Outset Medical. She is passionate about applying data science to solve real-world healthcare challenges and advancing innovation in medical systems.
How can machine learning improve hospital supply chains and reduce costly disruptions in medical equipment?