Sharpening one's imagination and fostering creativity are catalysts for development and progress. 

The Sales Analysis project on GitHub is a comprehensive resource for retail sales data analysis. It features a dataset containing various transaction details, customer demographics, and sales figures, which can be used for data cleaning and SQL querying exercises. The repository includes a schema for creating a retail sales table and several SQL query examples for data exploration, cleaning, and analysis, such as identifying total sales and best-selling months.

An insightful dashboard that provides a detailed analysis of IMDb film data using Tableau. The dashboard allows for visual exploration of film data, including ratings, genres, and trends over time.

An interactive Tableau dashboard that explores the job salaries of data scientists across different countries, industries, and experience levels. The visualization allows for insightful comparisons and trend analysis to understand the salary distributions in the data science field.

An interactive Tableau dashboard that visualizes key sales metrics such as total revenue, sales growth, and product performance across various regions. This dashboard enables users to analyze trends and make data-driven decisions to enhance sales strategies.

The Coca-Cola Stock Analysis project is a Python-based financial analysis tool that applies various stock market strategies and machine learning techniques to Coca-Cola's stock data. It utilises libraries like yfinance, pandas, and matplotlib for retrieving and analysing stock data, including technical indicators, stock price movements, and forecasting. The project demonstrates how to perform stock analysis and visualisation in Python.

The Stroke Prediction using Machine Learning project uses algorithms like logistic regression and random forests to predict strokes based on health data. It applies Python libraries such as pandas and scikit-learn for data handling and model training.

Responsive website designed with ReactJS.

The project is a sample HTML and Sass landing page designed for restaurants. It features a clean and elegant layout, including sections like a navbar with navigation links, a welcoming header, an About Us section introducing the restaurant, and a gallery showcasing food items. The site emphasizes branding and user interaction with reservation and ordering buttons.

The Flight Widget is a JavaScript-powered tool that displays and updates a table of flight details every 5 seconds. The flights are stored in an array and dynamically generated with HTML, CSS, and JavaScript. It includes a flip animation effect for updates.

The Vue.js Quiz App is an interactive quiz application built with Vue 3 and Vite. It includes three different quizzes, each containing unique sets of questions to test users' knowledge across various topics. This project serves as a simple yet engaging way to learn Vue.js and understand how to create dynamic, interactive applications.