

I’m a fast-learning graduate with a keen interest in problem-solving and data analysis. In addition to having experience working on academic projects where I analyzed data and clearly presented findings, I have a solid foundation in Excel, SQL, and Python. I have a strong desire to learn, and am flexible enough to take on new challenges. With a positive outlook, a strong work ethic, and a sincere interest in using data to support business decisions, I look forward to contributing.
• Sales Performance & Revenue Analysis
• Analyzed multi-year sales data using SQL (joins, CTEs, aggregations) to identify revenue trends and top-performing products.
• Built an interactive Power BI dashboard visualizing monthly revenue, regional performance, and profit margins.
• Generated data-driven insights to support business decisions on product strategy and regional sales growth.
• Customer Segmentation & Retention Analysis
• Performed customer segmentation using transaction and behavioral data to classify customers based on spending and purchase frequency.
• Analyzed churn and retention patterns using Python (Pandas) to identify high-value and at-risk customers.
• Presented actionable recommendations to improve customer retention and increase lifetime value.
• Financial KPI & Business Performance Dashboard
• Designed a KPI dashboard to track revenue growth, expenses, profit margin, and month-over-month performance.
• Cleaned and validated financial data using SQL and Excel to ensure accurate reporting.
• Enabled management-level insights by visualizing key business metrics for performance monitoring.