VAMSHI KONAMPET

Developed an interactive Power BI dashboard to analyze Shopify sales data, providing actionable business insights for strategic decision-making.

• Engineered a comprehensive Power BI dashboard for Shopify sales analysis, integrating key performance indicators (KPIs) such as Net Sales, Order Value, Customer Retention, and Lifetime Value to deliver actionable business insights.
• Designed dynamic data visualizations, including maps, trends, and detailed product/payment analyses, empowering stakeholders to monitor customer behavior, regional sales performance, and purchasing patterns for data-driven strategic decisions.

Performed statistical data analysis and time-series forecasting to predict sales trends and identify key sales drivers.

• Executed time-series forecasting using a 10-day moving average to accurately predict sales trends and revenue, providing critical insights for strategic planning.
• Applied advanced statistical tests, including t-test, ANOVA, and regression, to rigorously compare product categories and identify primary sales drivers, informing targeted business strategies.

Developed a Hybrid Ensemble SVM model leveraging transfer learning for advanced image forgery detection.

• Developed a Hybrid Ensemble SVM model for robust image forgery detection, integrating transfer learning features from advanced Convolutional Neural Networks (MobileNet, SqueezeNet, ShuffleNet) to enhance detection accuracy.
• Implemented advanced deep learning architectures, including MobileNet, SqueezeNet, and ShuffleNet, to extract sophisticated features for enhanced model performance and efficiency.
• Optimized model performance through rigorous testing and validation, demonstrating the capability to identify subtle image manipulations with high precision for critical security applications.