● Data analytics: Conduct in-depth analysis of complex market returns (defects) data to extract valuable insights into trends, categorizing focus areas, and pinpointing top offenders. Implement a strategic data funneling approach to systematically identify root causes, classifying defects into distinct categories such as period-specific, process-related, and product-specific issues. ● Predictive modelling: Forecasting the performance of all defect groups in the market based on their internal performance and rejection parameters.● Cross functional teams (CFT): Coordination & management of Defect group CFT's which are aimed at improving the product quality. Consolidation of data, market defects and quality initiatives to review the progress with relevant stakeholders. This has ensured a significant decrease in overall market returns.● Hypothesis testing: A/B testing to assess and compare the consistency of different manufacturing processes, aiding in the selection of superior processes based on empirical evidence. Hypothesis testing to optimize process by evaluating various process parameters to enhance efficiency and quality.● Voice of customer (VOC): Identifying the constraints impacting the Net promoter score for product Quality and further collaborating with stakeholders to device solutions to those pain points. ● Visualization: Data analysis & optimization of performance dashboards in Tableau to facilitate clear and intuitive insights for stakeholders and decision makers.