A modern relational spreadsheet 🌈
A Data Quality Tool for Agentic BI that tells you the what and the why
From Power BI to Microsoft Fabric 🤔 Introducing Power BI Adoption Framework 🌱
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.
Backend API + algorithm built for surfacing actionable insights for a small business given a network of other similar small businesses
End-to-end Flipkart analytics project with Excel cleaning, SQL modeling, and Power BI dashboard. Delivers insights on products, discounts, sellers, and stock.
End-to-end Netflix Data Analysis using Python, Pandas, NumPy, Matplotlib, and Seaborn featuring data cleaning, exploratory data analysis (EDA), business insights, and an interactive dashboard.
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.
End-to-end E-Commerce Sales Analysis using Python, Pandas, NumPy, Matplotlib, and Seaborn featuring data cleaning, exploratory data analysis (EDA), and business insights.
Retail transaction analysis using MySQL to uncover customer behavior, product performance, returns impact, and VIP customer segmentation from real-world IKEA sales data.
Exploratory Data Analysis & Modeling to predict whether the shipping deliveries will be received late or on-time by the customers
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
A comprehensive SQL project analyzing sales performance with advanced techniques like CTEs, window functions, and views. Explore insights into customers, products, and sales trends.
🪔 Diwali Sales Analysis using Python — uncovering customer insights through data cleaning, EDA, and visualization with Pandas, Matplotlib, and Seaborn.
End-to-end Power BI data analysis project for an EdTech startup, focusing on KPI tracking, revenue insights, and business intelligence dashboarding.
Customer and product segmentation analysis using descriptive statistics, probability and exploratory data analysis to identify purchase behavior and marketing opportunities.
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
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