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insights-analytics

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Power BI analysis of 2K clinic appointments ($938K revenue, 20.5% margin). Reveals why NY beat LA by $61K on treatment mix (whitening vs. cleaning), uncovers Chicago's 4.1% margin from high overhead, and contextualizes dentist KPIs by branch location. Built with DAX & Power Query.

  • Updated Sep 5, 2026

This repo contains using Data Mining Techniques to analyze meteorological (meteo) data. The objective is to extract meaningful insights and patterns from the data that can aid in understanding weather phenomena and predicting future weather conditions.

  • Updated May 10, 2024
  • Jupyter Notebook

This project involves building an interactive Power BI dashboard to analyze and visualize e-commerce sales data. It provides key insights into sales performance, customer behavior, top-selling products, regional trends, and revenue growth.

  • Updated Jul 14, 2025

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