Chapter 2.2 of my English textbook, A True Story of Sea Turtles, was how I was introduced to Olive Ridley turtles. The story of Velas village (Maharashtra, India) going from stealing turtle eggs to protecting them stayed with me and became the starting point for this project. Kasav Mitra brings the data published by Sahyadri Nisarga Mitra to life while highlighting the shift from conservation awareness to community-led action and livelihood through tourism.
I translated research, geographic information, species data, and conservation statistics into a visual narrative that makes the story easier to explore and understand.
The infographic combines data visualization, mapping, illustration, typography, and editorial layout to show the evolution of turtle conservation from nesting trends and participating villages to the threats faced by turtles and the 2006 shift toward community-led conservation.
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Data Analytics Project | BlinkIT Grocery Sales Analysis
Excited to share my latest Data Analytics project ,where I analyzed BlinkIT Grocery Sales Data and delivery data to uncover meaningful business insights 📈
📊 What I worked on:
Analyzed sales performance across product categories, outlet types, sizes, and locations
Identified top-performing item categories and customer preferences
Studied the impact of outlet size, establishment year, and visibility on sales
Converted raw data into actionable insights and business recommendations
💡 Key Insights:
Fruits & Vegetables, Snack Foods, and Frozen Foods drive maximum sales
FOR FULL PROJECT VIST GIT HUB –( https://lnkd.in/d34sdAPz
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Live GitHub Pulse — Broadcast Ticker for the Rive Broadcast & Livestream UI Challenge
I work as a data analyst and dashboard specialist, so when I saw this challenge, I didn't want to just animate something pretty — I wanted to see if I could bring actual live-data thinking into Rive, the same way I'd build a real-time analytics panel in my day job.
The concept: A broadcast-style lower-third ticker, similar to what you'd see on a live sports or esports stream — except instead of scores, it surfaces trending GitHub repositories in real time. Repo name, star count, and primary language, updating continuously like a stat panel during a live broadcast.
How it's built:
Data Binding — I set up a View Model (VMTicker) with three properties (repoName, starCount, language) and bound them directly to text layers on the canvas. Star count uses a Number-to-String converter so it renders cleanly as text.
Rive Scripting (Luau) — This is the part I'm most proud of. I wrote a custom script that runs inside the artboard and cycles through a set of trending repos every few seconds, pushing fresh values into the View Model through context:rootViewModel(). It's a small simulation of what a live API feed would do, built entirely with Rive's native scripting layer — no external app or backend needed.
State Machine animation — A looped timeline animates the accent bar's opacity in a subtle pulse, so the UI feels "alive" even during the seconds between data updates — like a live broadcast indicator light.
Why this approach: Most broadcast UI concepts lean heavily on motion and character work. I leaned into what I actually know — data pipelines and dashboards — and used Rive's newer Scripting and Data Binding features to bring that thinking into a motion-design tool for the first time. It was also my first time using Rive Scripting, so a good chunk of the build was debugging Luau type errors and figuring out the runtime API through trial and error.
https://editor.rive.app/file/live-github-pulse/2466722
https://www.linkedin.com/posts/abuaasif_rive-uidesign-datavisualization-ugcPost-7490354984044154881-mIL_/?utm_source=share&utm_medium=member_desktop&rcm=ACoAACRm5rcB0nVG0_HUX6-IXfuWqNGquZ-jMQU
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