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ficionado Coffee Roasters – Sales & Time-Based Performance Analysis
Developed an interactive dashboard using Python (Pandas, Plotly, Streamlit) to analyze transaction-level data and uncover sales patterns across time and store locations. Identified peak hours, day-wise trends, and product performance, and provided actionable recommendations to optimize staffing, operations, and revenue.
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I analyzed an educational organization's dataset to identify instructor-wise outstanding dues, track student fee collections, calculate unpaid balances, and generate valuable insights for better financial management.
Data AnalysisChatPDFMicrosoft ExcelMicrosoft Power BIFinancial AnalysisdataanalyticsdatascienceBusiness Analysis
𝗗𝗮𝘆 𝟮𝟮𝗻𝗱 𝗼𝗳 𝟯𝟬𝗱𝗮𝘆𝘀, 𝟴 𝗱𝗮𝘆𝘀 𝘁𝗼 𝗴𝗼
𝟱 𝘁𝗵𝗶𝗻𝗴𝘀 𝘁𝗼 𝗸𝗻𝗼𝘄 𝗮𝗯𝗼𝘂𝘁 𝗿𝗲𝘃𝗮𝗺𝗽𝗶𝗻𝗴 𝘄𝗲𝗯𝘀𝗶𝘁𝗲𝘀 &𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗮𝘀 𝗮 𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗿 🎨🎨🎨
1. 𝗔𝘂𝗱𝗶𝘁 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗺𝗲𝘁𝗿𝗶𝗰𝘀: Analyze analytics and feedback to identify friction points.
2. 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗲 𝘄𝗶𝘁𝗵 𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲𝘀: Test interactive wireframes with real users before launch.
3. 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝘆 𝗻𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗼𝗻 𝗽𝗮𝘁𝗵𝘀: Streamline content structure so users find data effortlessly.
4. 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘇𝗲 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗹𝗮𝘆𝗼𝘂𝘁: Emphasize primary metrics using deliberate scale and contrast.
5. 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗲 𝗨𝗜 𝗰𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀: Maintain uniform typography, colors, and interactive state patterns.
𝗙𝗼𝗹𝗹𝗼𝘄 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘂𝗽𝗱𝗮𝘁𝗲𝘀 𝗮𝗻𝗱 𝘁𝗶𝗽𝘀
Thanks for the tips