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Customer Churn Prediction
Analyzed 50,000+ customer records using Python and Pandas to identify churn patterns. Built an AdaBoost ML model with SMOTE achieving 78% accuracy. Deployed a Flask API and Tableau dashboard to deliver churn predictions and retention recommendations.
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Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Customer Churn Prediction
Analyzed 50,000+ customer records using Python and Pandas to identify churn patterns. Built an AdaBoost ML model with SMOTE achieving 78% accuracy. Deployed a Flask API and Tableau dashboard to deliver churn predictions and retention recommendations.
From "Data Dump" to "Decision Engine."
If the dashboard is the heartbeat, the Analytics page is the brain. For Enterprise Jezz, I didn’t want users hunting for insights—I wanted the insights to find them.
When designing for scale, "more charts" isn't the answer. Visual hierarchy is.
For this view, I prioritized:
♣︎. The 4-Pillar Pulse: High-level KPIs (Revenue, Users, Signups, Server Status) at the top for an "at-a-glance" health check.
♣︎. Dual-Axis Storytelling: Combining a high-density Revenue line graph with a Traffic Source donut to show not just what happened, but where it came from.
♣︎. Status-First Tables: Using semantic "Trending," "Stable," and "Beta" tags so product managers can spot outliers in seconds, not minutes.
99.9% Server Status is great, but 100% clarity for the user is the goal. :)
#BuildInPublic #SaaS
Clean and simple
Interactive Global Retail Sales Dashboard
I designed and developed this interactive data visualization dashboard to transform raw global retail data into a clear, actionable business intelligence tool.
Instead of relying on static spreadsheets, executive stakeholders can use this dashboard to instantly view high level KPIs. This centralized visualization helps management identify top-performing sectors, track seasonal trends, and drive data informed strategic decisions.
Key Features & Tech Stack:
Tableau for advanced data visualization and interactive dashboard design
Geospatial Analysis for mapping global sales distributions
Dynamic Filtering for custom date ranges, regions, and product categories
Business Intelligence & Data Analytics for accurate KPI tracking
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