• Technical understanding of manufacturing and measurement procedures, equipment, and standards.• Proficient in GD&T principles to understand design intent and analyze variation in geometry of critical components.• Analyzing CMM and X-ray CT measurement data to drive preventive and corrective actions and process optimization.• Collaborate with cross functional team to address critical dimensions measurements and reduce measurement uncertainties.• Leading process investigations and nonconforming part features review and generating corresponding reports.• Communicating data driven insights to technical and non-technical stakeholders.

• Provided teaching support to an undergraduate class of 90+ students on Manufacturing Process.• Literature review

• Conceptualized and executed experiments using Box-Behnken design and Taguchi methodology, to effectively identify relationships between machining parameters and outputs like surface roughness and tool condition.• Performed Anderson-Darling test to check for data departure from normality and applied transformation tools where necessary.• Leveraged statistical analysis tools in Minitab to identify process variation, process capability in manufacturing process.• Developed and implemented a robust predictive model with ANN to optimize cutting parameters. The model was done in Python and has an MAE of 2.90.

• Led a technical team to complete electroplating of OEM parts to SIFCO ASC standard.• Collaborated in end-to-end ownership of technical issues including root cause identification and resolution.• Built and maintained strong, professional relationships with customers through effective communication and interaction.• Designed and delivered training programs for project team, raising awareness about quality standards and continuous improvement.