Data Analyst with a background in Mass Communication and hands-on experience in Excel, SQL, Power BI and Python. Experienced in cleaning raw data, building KPI reports and interactive dashboards, and turning findings int…
Data Analyst with a background in Mass Communication and hands-on experience in Excel, SQL, Power BI and Python. Experienced in cleaning raw data, building KPI reports and interactive dashboards, and turning findings into clear, decision-ready insights. Comfortable with Excel formulas, Power Query, VBA and PivotTables, and with SQL and Power BI for deeper analysis. Built a sales and retention dashboard for a D2C skincare dataset covering revenue by customer segment and return rate. Detail-oriented, organized and able to explain data to non-technical audiences.
<ul><li>Analyzed 1,250 orders from a D2C skincare dataset using SQL (CTEs, window functions, joins) to segment customers into high-value (53) and at-risk (98) groups.</li><li>Built a Power BI dashboard tracking revenue by segment (237,562 high-value; 285,551 at-risk) and a 6.3% return rate.</li></ul><p></p>
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