Data Analytics Projects
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Designed a relational database schema to structure customer subscription data for efficient tracking
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Developed SQL queries to track churn rate and customer retention trends, uncovering retention trends that informed marketing decisions and increased customer LTV by 12%
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Built Python-based forecasting models to identify peak subscription periods, optimizing marketing spend by 18%
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Cleaned and transformed 15,000+ rows of raw sales data to ensure data integrity
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Built financial performance dashboards in Power BI to analyze seasonal sales trends and product performance
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Identified underperforming product categories, leading to a 37.79% revenue loss, and provided strategic recommendations that improved profitability by 12%
University Projects
San Francisco State University
• Led a team to secure 1st place globally out of 4,455 teams by implementing data-driven market strategies • Conducted financial modeling and market forecasting to optimize international business operations • Developed predictive models for market trends, resulting in a 35% increase in profitability • Utilized forecast models to predict market shifts, enabling optimal pricing, inventory, and logistics
San Francisco State University
• Developed a project roadmap for an AI-powered risk assessment tool, outlining key phases from research to implementation • Conducted a feasibility analysis, informing key stakeholders on technical, operational, and financial viability of AI integration • Designed a structured framework for integrating predictive analytics into risk assessment, focusing on data-driven decision-making
