The Coffee Shop Sales Project incorporates 2 major skills - SQL and Power-BI to retrieve relevant data from the a large database using SQL, and visualize the data with the help of Power BI as per the KPIs and necessary business requirements.

Generates structured summaries, timelines, and thematic insights from historical or cultural texts using pattern matching and language models.

This project showcases the application of data analysis techniques to solve real-world business problems in the hotel industry. By mastering essential Python libraries and methodologies, valuable insights have been derived to support Atliq Grands in enhancing customer retention and boosting revenue.

This repository analyzes ride performance data for Ola using a synthetic dataset generated with ChatGPT. Leveraging MySQL, Power BI, and Excel, the project reveals insights into bookings, cancellations, customer ratings, and driver performance, supporting data-driven decision-making in the ride-hailing industry.

A new package designed to facilitate structured and reliable analysis of user input related to software refactoring in the context of LLM capabilities. It accepts a user's discussion or question about

🔷 Business Insights & Executive Report for E-Commerce Dataset 🔷 Analyzed sales, profit, delivery performance, and customer behavior across multiple Brazilian regions. Used DAX, data modeling, and visualization techniques for dynamic, interactive dashboards. Identified key growth areas, top-performing categories, and optimized payment insights.

A new package that processes user queries about why small voting or ranking projects get flagged as spam so easily. It uses natural language processing to understand the input and generates a structur

This project analyzes Airbnb listings in London, UK using SQL to uncover insights for a potential cleaning service for hosts. The data is imported into an SQLite database and explored with SQL queries.

Senior Data Analyst at a San-Francisco-based bike-sharing start-up called Zulip. Your job includes providing insights (backed from data) to steer major business decisions, which help scale up the existing user base and optimize the internal operations of the company. Some of these tasks include estimating demand prediction and optimizing operations

The app is about FIFA Data Exploration and Insights Generation. I chose this project because I am more familiar with data exploration, and It felt interesting. The project is beneficial for football analysts to provide deep analysis of football players, their abilities, expenses, and their skills/experiences. This will help teams to select right…

This project showcases the application of data analysis techniques to solve real-world business problems in the hotel industry. By mastering essential Python libraries and methodologies, valuable insights have been derived to support Atliq Grands in enhancing customer retention and boosting revenue.

"This project analyzes ad hoc insights in the consumer goods domain for Atliq Hardware, a leading computer hardware manufacturer. It includes SQL queries for business insights, Power BI visualizations, and a presentation showcasing key findings. The objective is to analyze sales, costs, and customer trends to support data-driven decision-making."

📊 Analyze e-commerce sales data from Olist to visualize trends and insights, enhancing business decisions with a powerful Power BI dashboard.