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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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Hi, I'm Manish 👋
I'm a Power BI Developer & Data Analyst from India. Over the past year at MNC, I built 30+ Power BI dashboards, including the Standard dashboard that senior leadership opens every morning to review KPIs and take decisions.
I worked on it from requirements gathering with the central team and colleagues in Germany, through UAT, to the pilot launch in India.
What I can help you with:
📊 Custom Power BI dashboards
🔧 Data cleaning & modeling (Power Query, SQL, DAX)
📥 Turning Excel reports into interactive dashboards
🔔 Automated KPI alerts with n8n
I'm now taking on freelance projects. If your team is stuck with messy spreadsheets or reports nobody reads, send me a message and let's talk.
Open to new projects. DM me!
Cargora - Cargo Fleet Management Dashboard
A maritime dashboard UI brought to life through motion.
Cargora brings vessel tracking, voyage progress, cargo manifests, fuel metrics, and port scheduling into one operational interface.
This project explores dashboard UI/UX, data visualization, and purposeful micro-interactions for complex logistics workflows.
The motion keeps dense fleet metrics operationally readable.
Electric vehicle data is only useful if you can actually find it in one place. This project started with exactly that problem: the data was scattered, and nobody could get a clear picture of what was on the road.
I tracked the data down and pulled it together using SQL. I cleaned it up by removing duplicates, fixing inconsistent entries, and dealing with missing values. Then I built an interactive dashboard in Power BI on top of it.
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• Total EVs, cities and brands at a glance
• Which brands lead the market
• How many vehicles qualify for clean fuel incentives, and how many have never been checked
• The split between fully electric and plug-in hybrid vehicles
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You can filter by year and brand to explore the numbers yourself.
Tools: SQL, Power BI
