Vidit Kajvilkar
Turning raw data into clear, actionable business insights
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Developed a sales forecasting model using Python to analyze historical sales data and predict future sales trends. Cleaned and prepared the data, performed exploratory data analysis to identify patterns and trends, and applied machine learning techniques to generate sales forecasts, and support data-driven business decisions.
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Created an interactive Walmart sales dashboard to analyze sales performance, product categories, customer trends, and key business metrics. Cleaned and analyzed the dataset and transformed the results into clear Power BI visualizations, helping identify sales trends and actionable business insights.
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22
Created an interactive Banking Credit Risk Dashboard using Power BI and SQL to analyze customer risk, credit scores, loan amounts, and loan purposes. The dashboard highlights high-risk customer segments and key patterns to support data-driven decision-making.
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24