Skip to content

๐Ÿ› ๏ธ About Me I am a Computer Information Systems student at WTAMU, building a foundation in networking, security, databases, analytics, and programming. My passion lies in data science, particularly in using machine learning and data wrangling to uncover insights. This portfolio highlights projects that showcase my technical work.

Notifications You must be signed in to change notification settings

KingRG-Buff/portfolio

Folders and files

NameName
Last commit message
Last commit date

Latest commit

ย 

History

47 Commits
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 

Repository files navigation

portfolio

๐Ÿ–ฅ๏ธ Raul G. Garcia III - Technical Portfolio Repository

Welcome to my portfolio! This repository is a curated collection of my technical projects and IS artifacts, demonstrating my expertise in data analytics, web development, and system integration. Each project is accompanied by a detailed README file outlining the scope, challenges, and technologies used.


๐Ÿ—‚๏ธ Repository Structure

  • ๐ŸŒ Web Projects
    Dynamic web development artifacts, including Razor Pages, ASP.NET applications, and responsive website designs.

  • ๐Ÿ’พ Database Projects
    Comprehensive database design, implementation, and query optimization using SQL and advanced data modeling tools.

  • ๐Ÿ“ฆ C# Projects
    Object-oriented programming projects showcasing console applications and custom utilities.

  • ๐Ÿ“Š Analytics and IT/IS Artifacts
    Predictive models, Dashboards, system diagrams, and design documents illustrating analytical and development methodologies.


๐ŸŒŸ Highlighted Projects

โœˆ๏ธ Flight Delay Reporting Dashboard (Power BI)

  • Description: Developed a dynamic dashboard to monitor and predict flight delays.
  • Technologies: Power BI, Azure ML, Data Visualization.
  • Key Features: Integrated predictive models and visualizations to identify root causes and suggest operational improvements.

๐Ÿ›๏ธ Predictive Model for U.S. House Bill Outcomes

  • Description: Designed a machine learning model to predict bill outcomes based on historical voting data.
  • Technologies: AI Studio - RapidMiner, Machine Learning, CRISP-DM Framework.
  • Key Features: Leveraged historical datasets to generate actionable predictions for legislative outcomes.

๐Ÿ› ๏ธ About This Repository

This portfolio is a reflection of my dedication to building, analyzing, and improving technical solutions. Each project showcases my ability to solve complex problems, collaborate with cross-functional teams, and deliver impactful results.

Explore the repository to view individual project folders, each containing:

  • ๐Ÿ“„ README Files: Detailed project overviews with goals, technologies, and key outcomes.
  • ๐Ÿ“ธ Visuals: Screenshots and PDFs showcasing project outputs.
  • ๐Ÿ’ป Source Code: Clean, well-documented code demonstrating best practices.

๐Ÿ“ฌ Contact Information

I'm always open to discussing opportunities or sharing more about my work! Feel free to connect:

Raul G. Garcia III
๐Ÿ“ Canyon, TX
๐Ÿ“ง rgarcia.pm@icloud.com
๐Ÿ”— LinkedIn Profile


Thank you for exploring my portfolio. I look forward to connecting and demonstrating how I can contribute to your team!

About

๐Ÿ› ๏ธ About Me I am a Computer Information Systems student at WTAMU, building a foundation in networking, security, databases, analytics, and programming. My passion lies in data science, particularly in using machine learning and data wrangling to uncover insights. This portfolio highlights projects that showcase my technical work.

Topics

Resources

Stars

Watchers

Forks