Shaik Asmatha

𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 This project focuses on understanding customer purchasing behavior by analyzing transaction data to identify buying patterns, customer segments, and revenue opportunities. Using 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗦𝗤𝗟, 𝗮𝗻𝗱 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜, I developed interactive dashboards that helped uncover business insights for improving customer retention, personalization, and overall business performance. 𝗞𝗲𝘆 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀 Analyzed 𝟯.𝟵𝗞 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗥𝗲𝗰𝗼𝗿𝗱𝘀 to identify purchasing patterns and customer behavior. Evaluated $𝟱𝟵.𝟳𝟲 𝗔𝘃𝗲𝗿𝗮𝗴𝗲 𝗢𝗿𝗱𝗲𝗿 𝗩𝗮𝗹𝘂𝗲 and 𝟯.𝟳𝟱/𝟱 𝗔𝘃𝗲𝗿𝗮𝗴𝗲 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗥𝗮𝘁𝗶𝗻𝗴 to assess business performance. Identified 𝟳𝟯% 𝗡𝗼𝗻-𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲𝗿 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗕𝗮𝘀𝗲, highlighting opportunities to improve recurring revenue. Segmented customers by 𝗣𝘂𝗿𝗰𝗵𝗮𝘀𝗲 𝗖𝗮𝘁𝗲𝗴𝗼𝗿𝘆, 𝗔𝗴𝗲, 𝗮𝗻𝗱 𝗦𝗵𝗶𝗽𝗽𝗶𝗻𝗴 𝗣𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲 to identify high-value customer groups. Delivered recommendations for 𝗟𝗼𝘆𝗮𝗹𝘁𝘆 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 and targeted marketing strategies to improve customer retention and revenue growth.