You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This repo contains my Week 3 Data Analyst Internship project at Logic Stack. The project focuses on supply chain analytics using Python (Pandas) for data cleaning, exploratory data analysis (EDA) & visualizations, along with an interactive Power BI dashboard to analyze shipment performance, delivery trends, vendor efficiency & logistics insights.
This repository contains a Power BI dashboard designed to analyze Blinkit's sales performance, customer satisfaction, and inventory distribution. It provides interactive visualizations and key insights that help identify optimization opportunities and drive business growth.
Developed interactive Power BI dashboards for KPI monitoring, business performance analysis, and data-driven decision-making using SQL, Power Query, and DAX.
This project is an interactive Business Intelligence Dashboard developed using Power BI to analyze business performance and support data-driven decision-making. The dashboard transforms raw business data into meaningful visualizations, helping stakeholders monitor key metrics, identify trends, and gain actionable insights.
End-to-end Customer Analytics project using PostgreSQL, Excel and Power BI to analyze customer purchasing behavior, revenue trends and customer segmentation.
End-to-end customer shopping analysis using Python, SQL, and Power BI. This project transforms raw CSV data into actionable business insights by cleaning, querying, and visualizing customer behavior, spending patterns, and product trends.
Sales and Revenue Analytics project using Python, Excel, and Power BI to analyze sales performance, profitability, customer segments, regional trends, and business insights.
An interactive Power BI dashboard analyzing supermarket sales across cities, products, and managers. It highlights trends, customer behavior, and payment methods using dynamic visuals and filters. Enables stakeholders to monitor performance, identify top areas, and make data-driven business decisions.