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datavisualization-project

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This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.

  • Updated Jan 16, 2025
  • Jupyter Notebook

AlmaBetter Capstone Project - Unsupervised ML. Developed a book recommendation system for Amazon customers using memory and model based collaborative filtering by utilizing the description of book consumed and user interests.

  • Updated May 3, 2023
  • Jupyter Notebook

The project involved the exploration and visualization of a comprehensive dataset spanning the years 2012 to 2015. The dataset includes crucial information such as Order ID, Order Date, Ship Date, Ship Mode, Customer details, Product information, Sales, Quantity, Discount, Profit, Shipping Cost, Order Priority, and Returned status.

  • Updated Feb 3, 2024

engineer a unified, full-stack software ecosystem that demonstrates advanced proficiency in data engineering, complex API orchestration, artificial intelligence integration, and user interface design. Rather than building isolated scripts Nevai Search Engine: A privacy-first, AI-enhanced meta-search engine designed to consolidate fragmented

  • Updated May 11, 2026
  • TypeScript

I chose 'fatalities_isr_pse_conflict_2000_to_2023' data for analysis & visualization. The query editing was done in 'Microsoft SQL Server Management Studio' and the visualization part was using 'Microsoft Power BI'. Also for analysis, I used MS Excel and PowerBI's query tool.

  • Updated Oct 31, 2023

Welcome to EPLDataStorytelling, your portal to uncover the fascinating tales woven within the rich tapestry of the English Premier League (EPL). This repository is your gateway to a world of data-driven narratives, offering an exciting journey through the thrilling matches, iconic points, and unforgettable moments in the history of the EPL.

  • Updated Oct 14, 2023
  • Jupyter Notebook

This project is an exploratory data analysis (EDA) of a dataset containing information on Google Play Store apps. The dataset includes various features such as the app's category, rating, number of reviews, size, number of installs, type (free or paid), price, content rating, genres, last updated date, current version, and required Android version.

  • Updated Jun 7, 2024
  • Jupyter Notebook

This project includes two Power BI dashboards for analyzing cost reduction and inventory management in the apparel industry. It helps optimize costs, improve inventory turnover, and support supplier negotiations.

  • Updated Oct 24, 2024

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