Viraj Bhutada's Projects
Optimize retail insights with AccioJob's Excel Dashboard. Analyze sales data effortlessly for sharper decision-making and enhanced business strategy. This comprehensive Excel solution includes dynamic visualizations and slicers for an intuitive experience. Dive into the power of data-driven insights with AccioJob's Retail Insights in MS Excel.
This project seamlessly integrates a web-based interface with advanced AI to enable natural language interactions with a relational database. Utilizing Python, Streamlit for the frontend, and OpenAI for intelligent responses, it connects to a Postgres database for efficient data retrieval and features conversation history saving for easy reference.
Uncover valuable insights into Amazon Prime content and trends through an interactive Tableau dashboard. Delve into a comprehensive analysis of shows, movies, and user engagement data. Utilize interactive visualizations to gain a deeper understanding of the Amazon Prime platform.
This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
This repository contains all the necessary files and documentation for a detailed analysis of bank loan data using a combination of SQL, Power BI, Excel, and Tableau. The project aims to uncover insights related to loan applications, funding, repayments, and borrower demographics, facilitating data-driven decision-making in the banking sector.
Comprehensive Power BI resources covering interview questions, group training materials, project portfolio ideas, and a cheat sheet for quick reference. Elevate your Power BI skills with curated content designed to enhance your proficiency and boost project success.
Discover a collection of AI projects developed during the Codsoft AI Internship, showcasing advanced skills in AI programming. These projects demonstrate proficiency in various AI domains, from chatbot implementation to strategic gameplay and personalized recommendation systems.
Welcome to the "Compozent_ML_AI_OCT23" repository, a compilation of machine learning and artificial intelligence projects focusing on solving real-world challenges. Authored by Viraj N. Bhutada, these projects demonstrate proficiency in advanced machine learning techniques.
A repository containing the Capstone project for the Google Data Analytics Professional Certificate, focusing on analyzing FitBit fitness tracker usage data to derive insights relevant to Bellabeat, a wellness technology company.
A comprehensive repository dedicated to the Credit Card Complaints Analysis Dashboard in Tableau. Explore insightful visualizations, trends, and analytics related to credit card complaints. Stay informed and make data-driven decisions with this powerful Tableau analysis tool.
A comprehensive Power BI dashboard providing insightful visualizations and analysis for cryptocurrency data. Stay informed about market trends, historical performance, and real-time data in the world of cryptocurrencies.
Engage in a journey into the world of impactful data science projects. Witness a dedicated exploration of real-world challenges through innovative solutions. From predictive modeling to speech emotion recognition, experience the practical facets of data science effortlessly with just a few clicks.
This project develops a predictive model to estimate diamond prices based on characteristics like carat, cut, color, and clarity. It covers data preprocessing, feature engineering, model selection, training, and evaluation. The final product is a web app where users can input diamond attributes to get accurate and instant price predictions.
Dive into comprehensive e-commerce sales analytics with this Excel-based dashboard. Gain valuable insights into key metrics, visualize trends, and make informed business decisions. Explore the GitHub repository for the source code and start optimizing your e-commerce performance.
A comprehensive analytical dashboard spanning the years 1930 to 2014. This project leverages Tableau to provide insightful visualizations on World Cup champions, top-performing teams, final stadiums, qualified nations, audience statistics, and more. Dive into the rich history of the FIFA World Cup through data-driven exploration.
This web application, developed for the Future Ready Talent Microsoft Internship, enables seamless GIF search using the GIPHY API. Built with HTML, CSS, and JavaScript, it offers an intuitive interface for exploring memes, GIFs, and short clips. Hosted on Azure, it serves as a multifunctional platform for entertainment and education.
Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.
This project is dedicated to the creation and management of an interactive and insightful dashboard developed using Google Looker Studio. The dashboard is designed to provide a comprehensive overview of order-related data, facilitating data analysis and decision-making.
Strategic cinematic insights through Hollywood's data landscape. Tableau-driven analytics for genre, studio profitability, and audience dynamics. Uncover trends, assess audience reception, and navigate through years of film data, elevating your understanding of the cinematic world.
Explore a comprehensive HR Analytics portfolio showcasing data analysis and visualization skills. Featuring dashboards in Power BI, Excel, and Tableau, along with SQL queries for deeper insights. A holistic view of expertise in HR analytics, data visualization, and database management. Let's dive into the game of data insights!
An advanced Power BI dashboard focused on HR analytics, providing comprehensive insights into workforce data, employee performance, and key HR metrics. Enhance decision-making and strategic planning with visualizations tailored for human resources professionals.
Discover the housing market in King County, Washington, through a dynamic Tableau dashboard. Conduct in-depth analyses of house sales, trends, and key indicators. Utilize interactive visualizations to gain valuable insights into the real estate landscape in the region.
This project is designed to provide personalized music recommendations for relaxation and meditation. Leveraging ML and data analysis, the system suggests tracks based on user preferences such as tempo, energy, and genre. Join us in enhancing music discovery through advanced algorithms and community-driven contributions.
Hands-on SQL data analysis project for music store. Enhance proficiency with database queries. Ideal for practitioners seeking real-world analytics experience. Gain insights into customer behavior, revenue trends, and genre preferences, empowering strategic decision-making in the music industry. Explore the project for a rich learning experience.
Discover the world of Netflix through an interactive Tableau dashboard. Explore a rich collection of movies and TV shows, analyzing key details like show ID, type, title, director, cast, country, date added, release year, rating, duration, listed genres, and engaging descriptions.
Explore data science with Oasis Infobyte's impactful projects! From Iris Classification to Covid-19 Analysis, delve into real challenges. Predict Car Prices, enhance email security, and forecast Sales using Python. Join OIBSIP for impactful tasks. Start exploring!
Discover a curated collection of dynamic Power BI dashboards covering financial analytics, HR metrics, streaming service trends, real estate dynamics, and more. Meticulously designed for comprehensive data exploration, this repository continues to expand with new and impactful visualizations.
Implements K-means clustering for customer segmentation based on age, annual income, and spending score. The analysis aims to uncover distinct customer segments for targeted marketing and personalized customer experiences.