A new package that leverages pattern matching with language models to generate structured summaries or insights from user-submitted texts about topics like train maps or other transportation issues. I

This repository conducts a sales analysis for Company XYZ, exploring the reasons behind declining sales and suggesting strategies for improvement. Analyzing 12 months of data, it uncovers the best sales month, top-selling city, optimal advertisement timing, frequently sold together products, and the best-selling item.

The purpose of this project is to help pizza business sustain and enhance their business growth. The analysis will help business owner understands their current product performance and uncover valuable insights to make data-driven decisions

A new package that helps users understand and navigate the complexities of hybrid cloud environments in 2025. Users can input their specific hybrid cloud challenges, such as data gravity (the tendency

Sales Analysis - Sprocket Central Pty Ltd: This repository presents an in-depth analysis of sales data for Sprocket Central Pty Ltd. Discover key trends, best-selling products, optimal advertising timing, and actionable recommendations for growth. The interactive dashboard provides comprehensive visualizations, empowering stakeholders.

A new package that analyzes user-provided text summaries of yearly breakdowns (e.g., financial reports, project post-mortems, or performance reviews) and extracts structured insights. It uses an LLM t

In this project, I use Microsoft Excel to perform data analysis on a given data set.

This is an Exploratory Data Analysis done on Istanbul Shopping dataset from kaggle.

This is an Exploratory Data Analysis done on the Amazon Product Sales dataset from kaggle.

In this project, I use the 'Python Programming Language' to perform data analysis on a given data set.

In this project, I visualized and analyzed a company's Human Resource dataset using the Tableau BI tool in a bid to draw insights that are set to gauge the company's attrition rate.

The analysis examines data from the Austin Animal Center on animal intakes, outcomes, and stray locations to understand trends in the city's animal population and identify reasons behind stray animal cases.

In this project, I use the 'Python Programming Language' to analyze a given dataset obtained from a shopping mall's database in a bid to increase sales by better marketing clusters.

🚀 Generate clear summaries and insights from transportation texts using pattern matching with language models in this easy-to-use Python package.