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☕ Afficionado Coffee Roasters – Sales Trend & Time-Based Performance Analytics Dashboard
I developed an interactive Business Intelligence dashboard to analyze sales trends, customer purchasing behavior, store performance, and peak business hours using transaction-level sales data.
🔹 Key Features:
✅ Interactive filters (Store, Category, Day, Time Range)
✅ KPI Dashboard
✅ Sales Trend Analysis
✅ Store Performance Comparison
✅ Product Performance Analysis
✅ Revenue Heatmaps
✅ Smart Business Insights & Recommendations
🛠 Tech Stack:
Python | Pandas | Plotly | Streamlit | Data Visualization
Through this project, I gained hands-on experience in:
📊 Data Cleaning
📈 Exploratory Data Analysis (EDA)
⚙️ Feature Engineering
📉 Data Visualization
💡 Business Intelligence Dashboard Development
A special thanks to Unified Mentor for providing this opportunity and helping me apply data analytics concepts to a real-world business scenario.
🔗 Live Dashboard:
https://lnkd.in/dw9BUNfU
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About the Project
FlowMetrics is a conceptual SaaS analytics platform designed to help businesses monitor performance, understand customer behavior, and make data-driven decisions from one centralized dashboard.
I designed the product experience in Figma, focusing on a clean and intuitive interface that makes complex business data easier to understand. The project includes the main analytics dashboard, customer management, reports, responsive mobile screens, and a reusable design system.
Hi everyone!
I'm new here, so I wanted to introduce myself.
I learned the basics of Python about two years ago, and a year ago I started a degree in AI and Data Science. I'm currently in my third semester, and I'm focused on developing my programming and data skills while building my first real-world experience.
For now, I'm looking to contribute to smaller tasks such as data cleaning, data analysis, automation, and logical scripting. I don't expect to jump directly into complex projects; my goal is to help with the work I can handle while learning how software and data projects actually work in the industry.
I'm also very interested in how AI fits into programming. In my personal projects, I try to use AI primarily as a learning and reasoning tool rather than as a replacement for understanding or writing the code myself. I like using it more as a Socratic teacher: asking questions, challenging my reasoning, explaining concepts, and helping me find mistakes.
At the same time, I recognize that AI is becoming almost indispensable in modern development. But I believe that understanding the fundamentals is just as important. I want to learn how things work, not simply how to get an AI to produce them.
Currently, I'm working on a physics simulator as a personal project. It's still a work in progress, but I hope to share my progress here in the future.
I'm here to learn, contribute, and get a better understanding of what working in the industry is actually like. If there are small tasks where I can be useful while continuing to learn, I'd be happy to help.
Best regards!