- Led data science initiatives for enterprise clients, driving measurable customer value and contributing to a company billing increase of up to 10%.- Guided cross-functional teams in developing new data solutions and enhancing existing offerings, resulting in up to 20% increase in R&D output.- Deployed machine learning models into production, integrating telemetry and monitoring systems, which resulted in up to 1% reduction in yield loss and a 25% decrease in field returns.- Mentored field engineers and customers on advanced solutions through workshops and conference presentations, driving a usage increase of up to 15% in those offerings.

- Conducted statistical analyses to identify optimization opportunities in client silicon testing processes, leading to potential yield increases of 1-2% and up to a 10% boost in efficiency.- Automated 80% of the standardized analysis plan for new projects, reducing time spent on new projects by up to 50%.- Led development and deployment of the company's outlier detection solution as the subject matter expert, resulting in improved product quality.- Pioneered the integration of ML models into the company’s solution, expanding the offering portfolio with new predictive capabilities.

- Automated key data analysis processes for the engineering team, significantly reducing manual effort.- Consolidated data pipelines and developed a new BI solution for engineering analysis.

- Led statistical reviews of process control to ensure production quality standards.