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I am working on GEDI at Indus Delta, mangroves ecosystem.
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Creatives on Contra have earned over $150M and we are just getting started
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👥 HR Analytics Dashboard
Overview
A comprehensive HR analytics solution built with Power BI to analyze employee attrition, performance metrics, and workforce demographics. This project provides actionable insights for talent retention strategies and organizational decision-making.
🎯 Key Features
Employee Demographics Analysis: Gender, age groups, marital status, and education distribution
Attrition Intelligence: 26.08% attrition rate analysis with predictive indicators
Performance Metrics: Department-wise ratings and job satisfaction scores
Compensation Analysis: Salary distribution and income benchmarking
Work-Life Balance Insights: Distance from office and tenure correlations
📊 Dashboard Highlights
5,000 total employees analyzed
1,304 attrition cases identified
₹91,132 average monthly income
Interactive filtering by department, gender, and education
Multi-dimensional performance rating system
Geographic workforce distribution analysis
🛠️ Technologies Used
Power BI: Advanced visualizations and interactive dashboards
DAX: Custom calculations and KPI development
Data Modeling: Relationship optimization and performance tuning
💡 Key Insights
Identified high-risk employee segments for attrition
Analyzed correlation between education levels and job satisfaction
Evaluated department-wise performance patterns
Provided data-driven recommendations for HR policy improvements
Great work on this Power BI HR dashboard! The employee rating analysis and demographic breakdown sections are really well done. I’m also working on similar HR analytics projects, and this gives me so many ideas. What was the most challenging part you faced when building it?
🏥 Hospital Analytics Dashboard
Overview
A comprehensive healthcare analytics solution featuring three interactive Power BI dashboards that analyze patient flow, operational efficiency, and hospital resource management. This project transforms raw hospital data into actionable insights for healthcare administrators and decision-makers.
📊 Dashboard Components
1. Monthly View
Real-time patient metrics with trend analysis
Key performance indicators: Patient count, average age, waiting times, and satisfaction scores
Time-series visualizations for operational planning
2. Overall View
Comprehensive patient demographics and admission patterns
Department-wise analysis and resource allocation insights
Weekend vs. weekday operational trends
🎯 Key Metrics Analyzed
9,216 total patients across all departments
60% of patients attended within 30 minutes (efficiency benchmark)
7 departments analyzed including General Practice, Orthopedics, and Cardiology
Peak operational hours: 07-08 AM requiring enhanced staffing
🛠️ Technologies Used
Power BI: Multi-page interactive dashboards with advanced visualizations
DAX: Custom measures and calculated columns for KPI development
Data Modeling: Optimized relationships and performance tuning
💡 Business Impact
Identified peak patient flow patterns for staff optimization
Analyzed demographic trends for targeted healthcare services
Provided actionable insights for reducing patient waiting times
Enhanced operational efficiency through data-driven decision making
Most people use @floraai for prompts.
I use it to extract style.
Feed it a moodboard, a brand mark, a photo. It pulls the DNA palette, texture, mood and every image after sits in the same world.
That’s the difference between 40 random outputs and a style.
Video 3 in the FLORA @Contra University series is up.
Excellent Brother
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