![]() ![]() Conduct a capability analysis and interpret Cp, Cpk, Pp and Ppk.Design a measurement system analysis (MSA) and interpret the results of an MSA.Interpret the components of a control chart to determine if a process is stable.Translate analytics results into an actionable decisions and results. ![]() Visually and interactively explore data to identify potential root causes of variation.Develop a clearly defined problem statement to translate a business problem into an analytics problem.Explain the importance of using data and applying statistical methods to solve problems.Successful candidates should have the ability to: She has a master’s in applied statistics from Wright State University and an MBA in marketing and organization behavior from Shivaji University.During this performance-based examination, candidates will apply the skills and knowledge necessary to apply statistical thinking and fundamental statistical methods to solve industrial problems. Satwah has designed clinical studies related to skin care and collaborates with many people across teams, including leaders in product formulation and technical development, to develop winning products in global markets. She works with product development to find insights using advanced holistic multivariate analytics and leads statistical training sessions for a global audience of colleagues. Satwah uses her expertise with advanced analytics to deliver critical results for business decision making. Satwah started working with JMP when she joined Unilever and has used it extensively for data management, modeling and visualization, and has taught in several lunch and learn sessions on campus. Prior to this she worked in academia for six years in biostatistics and consulting. ![]() Supriya Satwah has worked in the FMCG industry for 12 years, and is currently a Senior Project Scientist on the Modeling & Analytics team in Digital R&D at Unilever. ![]()
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