Ayush Goyal
Driving process improvements through data analysis and lean management.
- Role
- Assistant Manager at Samsung Display
- Location
- Faridabad, HR, IN
- LinkedIn followers
- 500 followers
About Ayush Goyal
With a BTech in Electronic and Communications Engineering Technology from Manav Rachna University, I currently serve as Assistant Manager at Samsung Display. My role focuses on designing, developing, and optimizing business processes through data analysis and quality tools, including 7 QC tools, capability analysis, and FMEA. I also provide cost reduction consulting and implement in-house business process automation. At Samsung Display, I actively contribute to enhancing manufacturing efficiency by leveraging SQL for data analysis and visualization tools like Spotfire and Power BI for informed decision-making. Collaborating closely with stakeholders and headquarters, I help streamline processes, improve product quality, and foster continuous improvement within the organization.
Experience
Assistant Manager
Mar 2024 — Present · Noida, IN
As Assistant Manager Inspection Process part, I am spearheading a team to Designing, developing, validating & improving business process using the power of data.Applying quality tools like 7 QC tools, Capability analysis, Gauge R&R, MSA, FMEA to improve quality, further Root cause identification, failure modes analysis to implementing corrective actions.Cost reduction consulting stake holders to Develop inhouse business process automation.Using SQL to access data from cloud platforms like YMS, QMS, workplace, etc. Data clean, validation, processing, analyze trends and generate visualization in Spotfire, power BI tools help stakeholders in decision making. Evaluating manufacturing processes to eliminate NVA’s, Value stream mapping. Improving business process by applying lean manufacturing, kaizen, Six Sigma principles. Implementing lean projects for continuous improvement in safety, quality, delivery, and cost. ETL formation: Automation in data collection and alerting generation using Robotic process automationProduct management: By analyzing systems suggesting improvement plan backed by data. Applying LEAN tools, kaizen, Poka-Yoke, Jidoka, driving result-based product improvement in collaboration with PD team HQ Korea. Working Closely with product managers and cross-functional teams to suggest improvement in business process.
Education
Manav Rachna University
Bachelor of Technology - BTech, Electronic and Communications Engineering Technology
2016 — 2020
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