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TabithaSW/README.md

Welcome to My GitHub Profile! 🚀

👋 Hi, I'm @TabithaSW.

About Me

  • 👀 I'm passionate about Data Science, Web and App Development, Statistical Analysis, Machine Learning, and Video Games!
  • 🎓 I am an MSU graduate with a bachelor's degree in Data Science as of May, 2023.
  • 🌱 Skilled in Python, C++, SQL, and R, and familiar with Flask and Django frameworks.
  • 💞️ Looking to collaborate on Software Development, Game Design, or Data Science Projects.

Data Forge Fusion

Data Forge Fusion

Data Forge Fusion is a versatile toolkit designed for data conversion, cleaning, analysis, and visualization. It supports various file formats including XML, CSV, Parquet, Excel, and JSON, allowing for seamless conversions. With integrated features like data previewing, merge capabilities, file compression, detailed data summaries, duplicate detection, and custom plot creation, it simplifies data manipulation tasks, making it a go-to application for data enthusiasts.

Steam Sentiment Analysis

My Steam Sentiment Analysis project analyzes user reviews on Steam to uncover detailed player sentiments beyond the platform's basic positive/negative classification. By examining individual reviews, it provides nuanced insights into what players truly think about games, offering a more accurate and comprehensive evaluation than Steam's existing algorithm.

  • Clustering Techniques:
    • Implements K-Means clustering and hierarchical clustering to group reviews based on their underlying patterns and similarities, enabling a detailed analysis of player opinions.
  • Topic Modeling with LDA:
    • Utilizes Latent Dirichlet Allocation (LDA) to identify recurring themes and topics within the reviews, such as gameplay, graphics, bugs, or updates.
  • Different visualizations and statistical results are provided in png and csv formats for detailed analytical results.

Custom DBMS

DBMS

A lightweight, individual query or file-based database management system that takes in SQL and generates custom databases with tables and views. The database can be generated with ease, modified via an intuitive Flask web application, and exported as a JSON file to the user's PC.

Contact

Let's connect and collaborate on exciting projects together! 🌟

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  1. Data_Forge_Fusion Data_Forge_Fusion Public

    Creating a file conversion tool that allows users to select XML, PARQUET, CSV, EXCEL, or JSON files and create a new version in their file type choice. Users can connect to Teradata, query, and dow…

    Python 1

  2. Steam_SentimentAnalysis Steam_SentimentAnalysis Public

    Tool designed to analyze user reviews on Steam, the popular gaming platform. Unlike Steam's existing algorithm, which simply categorizes reviews as positive or negative based on overall ratings, th…

    Python

  3. Database_Create Database_Create Public

    Creating a database management system that takes in SQL statements and generates custom databases, tables, views, e.t.c

    Python