Developed a Power BI growth-trend analytics tool using Rainforest market data and MS Access to evaluate five beverage categories, identifying emerging brands, growth-driving attributes, and distribution/velocity trends to support R&D innovation, portfolio strategy, and packaging commercialization.
Analyzed packaging performance, commercialization, and market data across emerging brands and SKUs, identifying packaging, design, and consumer trends that informed R&D portfolio prioritization, innovation strategy, and early-stage packaging development.
Supported Technical Brand Stewardship and Supply Assurance by executing packaging validation, performance testing, risk assessments, and line trials across multiple beverage manufacturing sites, ensuring packaging specifications, quality standards, regulatory compliance, and supply continuity.
Collaborated with R&D, Operations, Quality, Procurement, and Manufacturing to manage packaging specifications, technical documentation, trial execution, and commercialization activities, using data-driven recommendations to improve product quality, mitigate supply risks, and accelerate time-to-market.
Performance & Operations Excellence Co-op
11 Months
Johnson & Johnson | 08.2024 - 07.2025
Developed Cdecarbonization roadmaps for distribution centers, reducing energy consumption and identifying pathways to net-zero emissions, resulting in $15,000 annual savings.
Developed decarbonization roadmaps for distribution centers, reducing energy consumption and outlining pathways to net-zero emissions with $15,000 annual savings.
Directed global Customer Service Week 2024 across four regions, boosting participation by 25% and securing a 90% survey response rate.
E2E Integration Co-op
1 Year 2 Months
Johnson & Johnson | 05.2024 - 07.2025
Recommended process improvements for NPI workflows, enhancing scalability and reducing lead times by 7% through data-driven analysis.
Applied Lean Six Sigma and data analytics to resolve process bottlenecks, which strengthened supply chain reliability.
Leveraged Alteryx for process modeling and collaborated across supply chain functions to enhance operational readiness for product launches.
Etch Process Support Engineer
2 Years
Applied Materials | 08.2022 - 08.2024
Directed the transition of breakthrough etch technology from New Product Introduction (NPI) to High-Volume Manufacturing (HVM) by driving yield improvement, maximizing tool uptime, and collaborating cross-functionally with development and production teams to resolve hardware and process constraints.
Improved process stability and yield readiness, achieving 85% process efficiency across 12 etch production chambers, by conducting daily SPC-based analysis of tool performance, defect density, and cycle time using Python, JMP, and Excel.
Identified yield limiters and process deviations, reducing repeat customer returns, by analyzing fab defect data, chamber health metrics, and electrical trends while leading structured 8D root-cause investigations and implementing validated corrective actions.
Established process windows for first-of-a-kind etch equipment and facilitated tool qualification by applying Design of Experiments (DOE) and destructive/non-destructive testing to define hardware specifications, while developing Python-based algorithms for high-volume fab datasets to drive sustained process control and particle performance improvements.
Education
Master of Science - Industrial Engineering
New York University | New York, NY | 12-2025
Bachelor of Science - Chemical Engineering
University of Virginia | Charlottesville, VA | 05-2022