Motivated Computer Science student pursuing a B.S. with a strong interest in data engineering. Skilled in SQL and Python for data management, querying, and process automation. Eager to apply technical skills to design, build, and optimize data pipelines that support analytics and business decision-making. Known for problem-solving, attention to detail, and a strong desire to grow in the fields of data engineering and data infrastructure.
Restaurant Data Insights with SQL
• Queried a nationwide restaurant dataset to identify top cuisines, pricing tiers, and average ratings, enhancing data-driven decision-making.
• Applied joins, subqueries, and aggregate functions to extract insights, improving data analysis efficiency through optimized SQL queries.
• Summarized findings in a clear, report-style format, increasing stakeholder understanding and engagement leading to significantly better stakeholder understanding and engagement.
Coffee Trends Dashboard
• Analyzed U.S. coffee consumption patterns by region and demographic, providing insights for strategic decisions.
• Built an interactive dashboard to visualize top regions, trends, and vendor stats, enhancing data accessibility and decision making.
• Showcased data storytelling through visual elements and slicers, improving stakeholder engagement and understanding
Google Data Analytics Certification, 01/22