A modern relational spreadsheet 🌈

From Power BI to Microsoft Fabric 🤔 Introducing Power BI Adoption Framework 🌱

Backend API + algorithm built for surfacing actionable insights for a small business given a network of other similar small businesses

Analyzed sales data to uncover trends, forecast future sales using time series models, and visualize key insights for better inventory and sales management. Utilized Python for data processing, EDA, and visualization.

Pipeline-Genie is an intelligent data pipeline that processes CSV datasets, identifies their schema, and leverages LLaMA 2.0 to extract business insights. Users can select relevant business needs, triggering automated ETL transformations using Apache Spark. The final transformed dataset is stored in AWS S3 and made available for download.

This project involves analyzing AdventureWorks bike sales data to uncover key insights into sales performance by country, customer segments, and products. The findings informed strategies for targeted marketing, market expansion, promotional timing, and product quality improvements.

Exploratory Data Analysis & Modeling to predict whether the shipping deliveries will be received late or on-time by the customers

End-to-end Flipkart analytics project with Excel cleaning, SQL modeling, and Power BI dashboard. Delivers insights on products, discounts, sellers, and stock.

Analysis of dog racing data to improve team performance

A Sales Dashboard using Microsoft PowerBi.

The Restaurant Sales Analysis project from Maven Analytics is a guided Project which focuses on analyzing transactional data from a restaurant to uncover insights about sales performance, customer behavior, and product trends with EDA

End-to-end Power BI data analysis project for an EdTech startup, focusing on KPI tracking, revenue insights, and business intelligence dashboarding.

Interactive HR analytics dashboard showcasing employee metrics, workforce trends, and data-driven HR insights using Advanced-Excel

Northwind Traders Sales Analysis project, which analyses sales data for a fictitious company. It utilises the Northwind Database and includes SQL queries to provide insights on employees, products, suppliers and revenue. The project aims to help the company gain valuable information for business decision-making.

An interactive Tableau dashboard that provides insights into various key performance indicators (KPIs) and allows users to filter the data based on different dimensions.

🚀 Complete e-commerce sales data analysis project demonstrating business intelligence skills with Python, Pandas, Matplotlib, and Seaborn. Includes customer segmentation, revenue analysis, and actionable business insights.

Unlocking key business insights from food delivery order data using SQL. This project dives deep into customer behavior, order patterns, and city-level performance to support data-driven decision-making in the food delivery industry. 🛠 Tools Used: SQL Server 📂 Dataset: Simulated Food Delivery Orders Data

Performed ETL and EDA on Spinny’s used car dataset using Python. Cleaned and transformed data with Pandas, visualized insights using Seaborn and Matplotlib, and used Scipy's linear regression to estimate price increase per cylinder. Built a Tableau dashboard to present findings.

Unravel valuable insights and answer numerous critical questions about our music store's operations. By diving deep into the dataset, we aspire to gain profound understanding and enhance decision-making processes within the realm of our music retail venture.

🪔 Diwali Sales Analysis using Python — uncovering customer insights through data cleaning, EDA, and visualization with Pandas, Matplotlib, and Seaborn.