Data Analyst
Languages: SQL, Python (Pandas, NumPy, Plotly)
Education
B.S., Business Data Analytics | Arizona State University (May 2025)
Certifications
Python Specialist
SQL Specialist
Excel Specialist
Tableau Specialist
Intercultural Skills
Projects
Grammys Web Analytics Intel Data Center Analysis
Experience
Shift Supervisor @ Starbucks (April 2022 - Present)
- Leveraged weekly guest survey KPIs to identify service improvement opportunities, designing targeted initiatives that boosted customer satisfaction scores by 9%
- Analyzed guest behavior and operational data to implement efficiency strategies, reducing peak drive-thru times by 10 seconds
- Streamlined inventory and order workflows by monitoring usage trends, cutting waste by 15% while ensuring product availability for guests
- Supported implementation of new store systems and trained team members, helping the team adapt quickly while maintaining consistent operations.
SQL and Python Trainee @ The Global Career Accelerator (January 2025 - May 2025)
- Analyzed real-world datasets in Jupyter Notebook, producing actionable insights and recommendations
- Communicated data analysis results verbally, in writing, and by creating visualizations in Tableau
- Examined user behavior across various industries and scenarios, identifying key trends and patterns
- Collaborated with a diverse global team to complete tasks and deliver timely and accurate projects
Excel and Tableau Trainee @ The Global Career Accelerator (January 2023 - May 2023)
- Applied advanced Excel techniques, including XLOOKUP, PivotTables, PivotCharts, and A/B testing, to explore business problems and support decision-making
- Built clear, interactive dashboards in Tableau using calculated fields, parameters, and blended data to communicate key insights to stakeholders
- Practiced data storytelling, visualization best practices, and hypothesis-driven analysis to generate actionable recommendations for business leaders
- Gained hands-on experience presenting findings to diverse audiences and collaborating with a global team in a simulated professional setting using large datasets for enterprise-level business scenarios