
During August 2025, Sriniketh developed a consolidated trend analysis feature for the DataBytes-Organisation/DiscountMate_new repository, focusing on enhancing pricing and sales insights. He implemented Python-based data analysis and visualization using Pandas, NumPy, and Matplotlib, enabling the visualization of top product price trends and calculation of price elasticity of demand when quantity data was available. Sriniketh refined data loading and processing to capture monthly and daily sales frequencies, end-of-financial-year timing, and the magnitude of price drops during sales. The work provided a comprehensive view of product pricing and sales patterns, demonstrating depth in both technical implementation and domain-specific data handling.

Monthly performance summary for 2025-08 focused on the DataBytes-Organisation/DiscountMate_new repository. Delivered a consolidated Trend Analysis feature set and improved data processing to enhance pricing and sales insights. No major bugs reported or tracked for this period.
Monthly performance summary for 2025-08 focused on the DataBytes-Organisation/DiscountMate_new repository. Delivered a consolidated Trend Analysis feature set and improved data processing to enhance pricing and sales insights. No major bugs reported or tracked for this period.
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