This advanced analytics project demonstrates how to use Snowflake for scalable data warehousing and Tableau for insightful visualizations on a real-world global retail dataset.
This machine learning project demonstrates how to use Apache Spark for large-scale time-series forecasting on a real-world electricity consumption dataset. Built a complete pipeline using PySpark and Spark MLlib to predict hourly electricity load.
Analyzed workplace stress across time, geography, and job roles using Power BI and Python, creating interactive visualizations to uncover key patterns and stakeholder insights.
Implemented using MERN stack. Developed a user-friendly interface, secure registration process, dynamic service offerings, search and filtering capabilities, payment integration, order tracking system, and interactive chat functionality.
This is a Space Invaders game implemented in Python using Pygame library. Space Invaders is a classic arcade game where the player controls a spaceship, tasked with shooting down waves of alien enemies while avoiding their projectiles.
A Machine Learning model to recommend optimal crops based on soil characteristics and climatic conditions using various Machine Learning algorithms.
A project focused on predicting the probability of default for Home Credit clients using various Machine Learning techniques
The project uses various machine learning models, including Logistic Regression, ANN, and gradient boosting, to analyze and predict airline delays and cancellations, improving accuracy through advanced techniques like oversampling.
The IBM HR Analytics Dashboard provides insightful analytics into IBM's human resource data. The dashboard visualizes various metrics such as gender distribution, average age by department, job role, monthly income, and employee education level.
This Power BI dashboard provides a comprehensive analysis of Prime Video's catalog of shows and movies. With a wealth of data visualized through charts and graphs, this dashboard allows users to gain insights into various aspects of content distribution, including total titles, genres, directors, rating categories, and release year trends.
This is a web-based chatbot application built using HTML, CSS, and JavaScript. It utilizes the OpenAI GPT-3.5-turbo model to generate responses to user inputs.
This is a web-based application built using HTML, CSS and JavaScript that converts text input into speech using the Web Speech API.
A web application designed using HTML, CSS and Angular JS to help users split bills, calculate tips, and determine how much each person in a party needs to pay.