Accomplished and high performing Data Scientist with 15 years of deep expertise in the application of analytics, business intelligence, data mining, and statistics in multiple industries and 3 years of consulting experience and 5 years of managing a team in the data science field. Creative problem solver with a unique mix of technical, business, and research proficiency that lends itself to developing key strategies and solutions with a significant impact on revenue and ROI. Working experience in machine learning, statistics, natural language processing, and deep learning with extensive use of Python, R, SQL & Tableau.
Discrete Event Simulation can identify the bottleneck in the process of the healthcare system. It can better build capacity according to the demand. It can evaluate better nonlinear trends in the data as compare to agent-based modeling or system dynamics.
Describes what kind of problems are faced by the healthcare system in COVID-19 times? How long patients are waiting to access hospital services? What kind of challenges are faced by the hospital during COVID-19 times?
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Creator Details

Episode Count
2
Podcast Count
1
Total Airtime
18 minutes, 58 seconds
PCID
Podchaser Creator ID logo 225870