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Finally completed my Healthcare Analytics project! 📊
I’ve just finished building the Power BI dashboard for this project.
I started with data cleaning and EDA in Python, then worked on SQL queries, and finally brought everything together in Power BI.
The dashboard covers patient demographics, admission trends, medical conditions, billing, insurance providers, and medication analysis.
Tools I used:
Python | Pandas | SQL | MySQL | Power BI
It was a good experience working through the project step by step and turning the data into something actually useful and easy to understand.
I’ve also uploaded the project to GitHub.
I’m open to Data Analytics freelance work, projects, and collaborations. Feel free to reach out.
#PowerBI #DataAnalytics #DataAnalyst #SQL #Python #HealthcareAnalytics #DataVisualization
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Just wrapped up the project, and I realized this is definitely the picture worth sharing the most! 😁
Sometimes people look at the final dashboard and think that’s where all the work happens, but the real magic starts right here... the Data Model.
Behind every single relationship here is a lot of thinking, testing, and tweaking until everything finally clicked into place.
Alhamdulillah, the project is officially complete, and I’ve learned way more from it than I initially expected.
Any feedback is more than welcome! 🙏
#PowerBI #DataAnalytics #PowerBIDeveloper #Portfolio #OpenToWork
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!