Niharika Gudepu

Business Analytics graduate with a strong foundation in data analysis, statistical modeling, and business intelligence. Skilled in extracting insights from complex datasets to drive strategic decision-making and optimize business performance. Proficient in SQL, Python, Excel, and visualization tools like Tableau and Power BI.

Academic Projects  Sales Forecasting Using Machine Learning Customer Segmentation for E-commerce

• Predicted sales trends using linear regression and time series forecasting in Python.
• Used Excel and SQL for data cleaning and preprocessing.
• Developed a dashboard in Power BI to present insights.
• Applied clustering algorithms (K-Means, Hierarchical Clustering) for customer segmentation.
• Analyzed customer purchase patterns using SQL queries.
• Presented findings with data visualizations in Tableau.

Healthcare Industry Data Analytics Project

• Analyzed COVID-19 vaccination impact on mortality rates using descriptive and predictive analytics.
• Collected and processed multivariate datasets from reliable government sources (ABS, Census, HumData).
• Implemented time-series analysis and regression models using Tableau for forecasting trends.
• Designed data visualizations to assess healthcare resource planning and policy effectiveness.
• Addressed data ethics, security concerns, and AI-driven healthcare advancements.
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