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kpi-tracking

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A Streamlit + SQLite + Python dashboard for monitoring content performance KPIs. Tracks impressions, clicks, conversions, CTR, and conversion rates across categories and time. Includes an automated ETL from CSV → SQL view, interactive charts, and filters for data-driven content optimization.

  • Updated Oct 28, 2025
  • Python

📊 Sales Performance Dashboard – An interactive and visual dashboard created using Advanced Excel and IBM Cognos to analyze sales data. It provides key insights into sales trends, top-performing products, and regional performance. Ideal for business decision-making and data storytelling.

  • Updated Aug 1, 2025

🔔 Receive Apple App Store revenue notifications in real-time on your device with RevenueBell, a lightweight Cloudflare Worker script.

  • Updated Jan 25, 2026
  • JavaScript

Interactive sales performance dashboard for Plant Co. analyzing Year-to-Date (YTD) vs Previous Year (PYTD) metrics. Features gross profit analysis, regional performance heat maps, and account profitability segmentation.

  • Updated Jan 24, 2026

This project showcases a dynamic Business Intelligence dashboard for e-commerce sales, analyzing key metrics such as sales, shipping efficiency, discounts, product performance, and customer segmentation. Built with SQL and DAX, it provides actionable insights to align strategy with operation, driving informed decisions and performance optimization.

  • Updated Dec 26, 2024
Financial_Complaint_Dashboard

This dashboard tracks Revenue, Expenses, Profit, Budget vs Actuals, and key Financial KPIs to help stakeholders make data-driven decisions. 🧠 Key Learnings: Data Modeling, DAX Calculations, Financial KPIs, Power Query Transformations, Interactive Report Design 🛠 Tools : 📊 Power BI | 🔍 DAX

  • Updated Dec 1, 2025

The GreenLeaf Performance Dashboard is a data-driven analytics dashboard that offers insights into sales trends, product performance, and profitability. Developed using Power BI, it helps stakeholders track key metrics, identify growth opportunities, and make informed management decisions.

  • Updated Mar 18, 2025

The goal of this project is to extract meaningful insights from pizza sales data, such as sales trends, popular items, or revenue patterns. MySQL was used for data querying and cleaning, while Excel was utilized for advanced data manipulation, pivot table creation, pivot chart generation, and building an interactive dashboard.

  • Updated May 24, 2025

This project showcases a complete data cleaning and basic analytics workflow on a real-world-style employee health dataset, simulating inconsistencies often found in raw data. It includes both uncleaned and cleaned Excel files, plus a pivot-based dashboard to derive insights.

  • Updated Jul 14, 2025

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