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Christian Kalinda
Data Analytics | Transforming Data into Actionable Insights
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Kampala, Uganda
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Kampala, Uganda
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Global Superstore Sales Performance Analysis — 51,290 Transactions Tools: Python, Pandas, NumPy, Matplotlib, Seaborn, Power BI, DAX • Cleaned and validated a 51,290-row transactional dataset; performed exploratory data analysis in Python to evaluate sales, profit, discount, product, and regional performance. • Built a 3-page interactive Power BI dashboard with 13 DAX measures covering KPI tracking, regional performance, sales trends, and profitability analysis. • Identified underperforming categories and discount-driven profit erosion, translating findings into actionable business insights.
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