Empower decision-makers with an interactive Power BI dashboard showcasing e-commerce performance metrics and trends. Analyze sales data, forecast future trends, and drive informed strategies for business growth.

The HR-Analytics Attendance Dashboard uses Power Query, DAX Query and Power BI to analyze employee attendance data and provide insights into attendance patterns. The data is cleaned and transformed using Power Query and DAX Query. A dashboard is created with visualizations, measures, filters, and slicers to help HR identify areas for improvement.

Enable stakeholders with an engaging Power BI dashboard illustrating key e-commerce performance indicators and patterns. Evaluate sales data, predict forthcoming trends, and formulate knowledgeable approaches to foster business expansion.

Data Analysis Report based on Brazilian E-Commerce Public Dataset by Olist

Namaste! A Pizza Store is named ‘Pizza Kitchen’ in NY, USA. The store manager wants to analyze key indicators for pizza sales data to gain insights into the business performance. And also wants us to suggest solutions to boost the sales and overall business performance. The pizzas sales data is from January, 2015 to December, 2015.

Using POWER BI to perform data visualization in different domains to show insights, trends and forecasts by using different datasets like excel, csv and SQL.

Bank Loan Analysis.pbit

From classic Margheritas to thai chicken pizzas, I have meticulously curated data from every corner of the pizza landscape to provide you with a comprehensive overview of what's hot and what's not in the industry.

Develope IPL Dashboard with Power BI

A Power BI dashboard delivering in-depth market insights through: Data Integration: Power Query for diverse data sources. Data Prep: Advanced M Code scripting for data refinement. Analysis: DAX-powered complex computation. Visualization: Interactive charts for strategic decision-making.

📈 Based on the report insights ,here are the outcomes of the sales :- 1️⃣ Women are more likely to purchase (65%) than men. 2️⃣ Maharashtra , Karnataka and Uttar Pradesh were the top contributors to sales (35%). 3️⃣ The adult age group (30-49 yrs) made the most contributions(50%). 4️⃣ Amazon, Flipkart and Myntra channels were the contributer.

Credit card transaction and customer report using power bi

The HR-Analytics Dashboard uses Power Query, DAX Query and Power BI to analyze employee attendance data and provide insights into attendance patterns. The data is cleaned and transformed using Power Query and DAX Query. A dashboard is created with visualizations, measures, filters, and slicers to help HR identify areas for improvement.

Uncover trends and patterns in online shopping behavior, all at your fingertips, as this dashboard serves as your compass in navigating the e-commerce landscape

Amazon Titles Dashboard Power BI

This project showcases the use of Power Query and DAX Query to analyze employee details, add new measures and columns, and create a dashboard using Power BI.

Crime Analysis on Power BI

This project involved managing real-time streaming data from the New York Times Developer API to ensure immediate access to the latest insights and articles. Utilizing Apache Airflow within GCP Cloud Composer, seamless workflow pipelines were orchestrated to automate data retrieval, preprocessing, and incremental loading into Snowflake DW

This Pizza Sales dashboards provide valuable insights, including sales trends, pizza category breakdown, size distribution, top-selling, and least-selling pizzas, enabling data-driven decisions to boost sales and business performance.