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Pharmacy Sales & Profitability Analytics Dashboard (Power BI)
Overview
Developed an end-to-end Pharmacy Sales and Profitability Dashboard to monitor revenue, costs, margins, and regional performance across multiple pharmacy locations.
Key Features
Revenue, cost, and profit margin KPI tracking
Month-over-Month performance analysis
Geographic sales distribution with interactive mapping
Promotion effectiveness analysis
Country-wise revenue comparison
Pharmacy-level profitability and operational insights
Dynamic filtering by year, month, and country
Business Impact
Enabled management to identify high-performing locations, optimize promotional campaigns, and improve profit margins through data-driven decision-making.
Tools Used
Power BI, DAX, Power Query, Data Modeling, Geospatial Analytics
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Aura Peace Core App Design
An advanced wellness platform transitioning seamlessly from a light-themed workout planner to a dark-themed health telemetry dashboard.
Key Highlights
AI & Figma Make: Used to rapidly iterate responsive layouts and complex component states.
UX Architecture: Clean visual hierarchy optimized for quick readability during active training sessions.
Data Visualization: Custom UI components designed for high data-density without cluttering the screen.
Future Scope for Personalization
Adaptive Themes: Light/dark modes that automatically trigger based on your workout environment or ambient light.
Modular Dashboard: Drag-and-drop widgets so users can prioritize the exact bio-metrics matching their fitness goals.
AI Personal Insights: A smart summary card translating raw telemetry into actionable recovery and breathing tips.
The light-to-dark theme transition for a wellness app makes a lot of sense from a UX perspective. Morning workout planning in light mode, nighttime biometric review in dark, that context-awareness is good product thinking.
Built a Customer Behavior Dashboard analyzing 3.9K customers, tracking average purchase amount, review ratings, revenue by category, and sales by age group. Created using Power BI with interactive filters for gender, category, and shipping type. This project demonstrates end-to-end data analytics from raw data to business insights.
Did you know a tornado formed the year you were born?
Not a real one. A data one.
Type your birth year. Watch the storm react - the speed, the color, the rage of it - all driven by the exact CO₂ levels recorded that year.
🌪️Live Site - https://thedatatornado.figma.site
💻GitHub Repo - https://github.com/isumenuka/Thedatatornado
🔬 The Problem
Climate change is the most documented crisis in human history. Scientists have been collecting data for over 65 years. But most people feel nothing when they see the numbers - because a wall of data doesn't make you care. That is a design problem. The Data Tornado is my answer.
⚙️ How It Was Built
I started in FigJam - mapping the full app structure, severity color system (Stable → Elevated → Critical → Extreme), and the 65-year climate timeline before touching any build tool.
In Figma Make, I loaded my complete design guidelines first - colors, fonts, spacing rules - so every generated output matched my vision from the first prompt. That one step eliminated hours of corrections.
The MCP connector was the most critical technical piece: a custom live pipeline to NOAA's servers, pulling real CO₂ and temperature readings automatically every time someone opens the app. No downloading. No pasting. Always live.
The hero background video was generated entirely in Figma Weave - I set a start frame and end frame, and Weave generated the full atmospheric storm footage between them. The Figma Agent handled precision edits throughout -clicking directly on individual elements, repositioning buttons, aligning sections, without touching anything else.
Supabase powers the share cards, news gallery, and live data caching. GitHub handles deployment.
🛠️ Tools Used
→ FigJam: full app structure, severity system & data flow diagrams
→ Figma Make: prompt-to-code app with custom NOAA MCP connector
→ Figma MCP: live pipeline direct to NOAA's climate API
→ Figma Weave: AI video generation for the hero storm background
→ Figma Agent: precision element-level UI edits throughout the build
→ Supabase: backend for share cards, news & data caching
→ GitHub: deployment and version control
✨ Key Feature - Birth Year Telemetry
Enter your birth year. The app instantly generates your personal climate log -the exact CO₂ concentration the year you arrived in the world, your temperature anomaly then vs. now, your severity level at birth vs. today. It stops being a global statistic. It becomes yours.
Most people go quiet when they see their own number.
What happened on the day you were born? Share your link in the comments!
THIS IS MINE - https://thedatatornado.figma.site/?share=d9844bb7-12d7-4c5a-94e8-ebd84ade9f8b
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