Chula Vista, California, United States
With over two years of dedicated experience in inventory management and quality assurance at Amazon, my focus has been on enhancing operational scalability and efficiency. At Amazon, I've led cross-functional projects that align with our mission of to deliver results for our customers. My proficiency in data analytics and regulatory compliance supports the company's commitment to excellence. By promoting continuous improvement and leveraging my background in astrophysics, I bring a unique perspective to complex problem-solving.
Directed projects across engineering, operations, and safety to improve scalability and efficiency, developing workflows that shortened cycle times and raised throughput to meet performance targets. Oversaw a team of data analysts ensuring SOX-compliance inventory reporting standards, implementing control checks and audit protocols that safeguarded regulatory requirements. Developed and deployed data analytics and tracking tools to oversee real-time project progress, leveraging insights from dashboards and custom reporting tools that enabled predictive adjustments for the senior leadership team. Standardized inventory workflows and ensured practices across teams aligned with company policy, leading to consistent operations.
Built and maintained a workforce plan for 50-200 employees, balancing labor allocation with shifting operational needs to achieve quarterly productivity goals consistently and on budget. Facilitated cross-functional collaboration with quality assurance, shift planning, engineering, subcontractors, and safety teams to align operational strategies with organizational objectives. Drove department-wide continuous improvement initiatives, deploying lean methodologies to reduce cycle times and eliminate waste, resulting in a 13% increase in throughput. Utilized data analytics to monitor operational metrics, deriving actionable insights for process optimization and driving improvements.
Contribute X-Ray calibration of cluster selection for the Dark Energy Survey Essential paper. Develop an analysis program that supports long-term analyses. Document code with embedded comments in support of quality control. Gather, prepare, analyze, and summarize the collection of information. Analyze trends and recommend approaches based on data sources and uses. Facilitated team collaboration on projects using GitHub and Slack. Developed a data analysis program in Python with NASA’s ’CIAO’ software. Contributed to analytical results, including development and documentation. Handled code maintenance, bug fixes, and enhancements. Conducted qualitative analysis on structured data for clear insights.
•Collaborated with team members on project progress through GitHub and Slack. •Ran and analyzed large data sets using a combination of open-source tools. •Developed a data analysis program using Python and NASA’s Chandra X-ray ’CIAO’ software package. •Contributed to the development and documentation of analytical results. •Maintained, processed issues, bug fixed, and improved existing code.•Performed qualitative analysis on structured data.
•Maintained general sanitation standards in compliance with store policy, state, and local health regulations. •Responsible for cash drawer contents in both the start and end of the actual work shift. •Resolved customer concerns, guided, and provided relevant information.
•Led an emergency response team of 6+ crew members. •Responsible for dining area set up of 150 tables. •Volunteered to mentor incoming employees to learn the mechanics of operation.