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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

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 Mar 12, 2026

📊 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

Comprehensive Excel-based dashboard analyzing KPIs and sales performance of a South American restaurant chain. Includes sales trends (2021–2022), country-level distribution, customer satisfaction, and profit metrics. Designed Data Analysis and business intelligence insights, performance tracking, and strategic decision-making.

  • Updated Oct 7, 2025

A comprehensive portfolio of Power BI reports, dashboards, and analytics solutions covering network operations, IT service management (ITSM), workload planning, KPI tracking, resource utilization, and business intelligence. Demonstrates expertise in Power BI, DAX, Power Query, data modeling, and reporting automation.

  • Updated Aug 20, 2026

📊 HR Analytics Dashboard (Excel | MIS) Interactive Excel dashboard built on 1470 employee records to analyze attrition, workforce trends, and job satisfaction. Includes KPI tracking, dynamic slicers, and insights for data-driven HR decision-making. 🛠 Skills: Excel, Pivot Tables, Data Analysis, Dashboarding, MIS Reporting

  • Updated Apr 11, 2026

Exploratory data analysis, A/B testing, and predictive modeling for a mobile game. The project includes KPI tracking (DAU, ARPU, ARPDAU, Retention, ROAS), evaluation of experiment results on engagement and monetization, and a machine learning approach to predict user purchase behavior within 30 days based on the first 7 days of activity.

  • Updated Sep 2, 2025
  • Jupyter Notebook

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

An AI agent for analytics and reporting — turning any enriched or scraped dataset into a client-facing report or dashboard spec, backed by real analytics APIs.

  • Updated Aug 26, 2026

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