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Analyzed insurance data using Python to identify key factors affecting medical costs and built machine learning models to predict insurance charges. The project includes data cleaning, exploratory data analysis, visualization, feature analysis, and model evaluation using Scikit-learn.
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This might be the project that took the most time and effort to bring to a final finish line, but the result is truly worth it.
I am thrilled and excited to share with you OmniPulse Analytics Hub, an end-to-end Business Intelligence project I’ve been working on.
The idea wasn't just about putting a few charts together; the real challenge was deep in the backend and setting up a solid data model: linking 18 tables, building a proper Star Schema, and writing custom DAX measures to deliver accurate, error-free KPIs.
In this project, I focused on:
• Professional data cleaning and preprocessing.
• Table relationships and implementing Time-Intelligence using a dedicated DimDate table.
• Developing advanced DAX measures to analyze sales trends, return rates, and inventory levels.
• Designing a clean and intuitive user interface enabling management to read the numbers and make instant decisions.
• Integrating a one-click Executive Summary providing a complete project overview, key metrics, and dashboard status for immediate decision-making.
The dashboard features two main sections:
📌 Executive Overview (Comprehensive view of revenue, total sales, and overall performance rates)
📌 Category & Sales Breakdown (In-depth category analysis and low-stock tracking)
The biggest takeaway from working on this project: A massive amount of disorganized data is worthless. The true art lies in turning a mess of numbers into a clear, actionable story.
I'd love to hear your thoughts and welcome any feedback or suggestions! 👇
#PowerBI #DataAnalytics #BusinessIntelligence #PowerQuery #DAX #DashboardDesign #DataVisualization #DataModeling #Retail #DataScience
E-Commerce Intelligence & Predictive Analytics Platform
Built an autonomous market intelligence telemetry engine & executive dashboard.
Stack: Python | SQLite | Streamlit | Pandas | REST APIs
• Automated real-time data ingestion & vector validation
• Indexed warehouse storage with query telemetry
• Interactive executive analytics & one-click CSV export engine
Check out the full repository and services on my profile.
