Portfolio

Sales Overview

This interactive Power BI dashboard provides an overview of online retail sales performance using the UCI Machine Learning Repository's Online Retail Dataset. Key features include visualizations for top products, sales and refund trends, and key performance indicators (KPIs). The dashboard utilizes data cleaning (Power Query), DAX calculations, and field parameters for dynamic analysis. 

HR Service Delivery Performance Dashboard

Created a dynamic Power BI dashboard analyzing simulated HRSD data, featuring KPI tracking, trend analysis, and flexible performance breakdowns by category, department, or agent. Demonstrates skills in data visualization and analysis for HR process improvement. 

HR Service Delivery Performance Dashboard - Tableau Version

This dashboard was created to help HR teams track and improve their service delivery performance. It provides a comprehensive view, tracking key metrics like total cases, SLA compliance, and resolution times. Users can filter by department and date, and interactive elements, created using Tableau parameters and calculated fields, allow analysis of resolution times by various dimensions and case status by priority or status. Created using Tableau's advanced filtering and visualization features, this dashboard demonstrates my ability to translate business needs into actionable data insights

Product Analysis

This Power BI report page provides a comprehensive analysis of product sales performance, leveraging the AdventureWorksDW sample database. The page focuses on identifying top-selling products and understanding their contribution to overall sales, with a particular emphasis on the 80/20 rule (Pareto principle). The report uses a combination of key performance indicators (KPIs), interactive visualizations, and advanced DAX calculations to provide actionable insights. 

Churn Analysis

This dashboard provides a comprehensive analysis of customer churn, aiming to identify key trends and drivers behind customer attrition. It visualizes crucial metrics, including overall churn rate, churn amount, net customer change, and individual customer performance, allowing for a data-driven understanding of churn and its impact on revenue. The goal is to provide actionable insights to inform customer retention strategies.