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shane-staret/README.md

πŸš£β€β™€οΈπŸš΅β€β™‚οΈ Shane Staret πŸƒβ€β™‚οΈπŸ§—β€β™‚οΈ

Software Engineer & Analyst

Creating a better world is my life's mission! Leveraging my expertise in Python, JavaScript, cloud deployments, data analysis, and systems analysis, I bring this philosophy to life through technical solutions that deliver meaningful, real-world value. With an objective and strategic approach, I craft robust solutions that have immediate impact and long-term scalability.

I enjoy solving problems through data-driven Python solutions. I am currently deepening my knowledge of Python's data science, machine learning, and artificial intelligence libraries. These libraries have contributed greatly to my existing projects, but I believe you can never stop learning or optimizing enough! Additionally, front-end web development has grown on me considerably, as I hold great appreciation for modules that assist with creating beautiful data visualizations. I also recognize the critical role of clean UI design in ensuring a seamless user experience, and I have implemented these best practices in my own projects.

If you want to hire someone with this mindset and skill set, let’s chat!


🌟 Notable Achievements 🌟

  • Enabled business teams to efficiently access key metrics and allocate more time to mission-critical tasks by transforming manual reporting processes into automated solutions that leverage Python, REST APIs, SQL, ELT, and Azure Synapse Analytics
  • Co-led a team of 6 developers in the implementation of Python data extraction, facial recognition, and AI/machine learning libraries to evaluate 219 websites for potential human trafficking victims, resulting in the analysis of 456K profiles
  • Formulated the REST API and no-code back-end architecture for a website that captures and visualizes worldwide reports on drug trafficking and overdose incidents
  • Individually architected, developed, and documented 80 Python solutions that gathered, cleaned, analyzed, and stored 20M+ records throughout AWS S3, MongoDB, SQL, and CSV files


πŸ—£οΈ Languages

Python --Python Logo-- HTML --HTML Logo-- CSS --CSS Logo-- JavaScript --JavaScript Logo-- Java --Java Logo-- MATLAB --MATLAB Logo-- C --C Logo--


πŸ“š Libraries

Pandas --Pandas Logo-- NumPy --NumPy Logo-- Plotly --Plotly Logo-- SQLAlchemy --SQLAlchemy Logo--
PyMongo --PyMongo Logo-- OpenCV --OpenCV Logo-- TensorFlow --TensorFlow Logo-- Selenium --Selenium Logo--


🧩 Frameworks

React.js --React.js Logo-- Express.js --Express.js Logo--


πŸ’Ύ Databases

MS SQL Server --MS SQL Server Logo-- MongoDB --MongoDB Logo--


🏒 Hosting Platforms

AWS --AWS Logo-- Azure --Azure Logo--


πŸ§‘β€πŸ’» Development Tools

Git --Git Logo-- PyCharm --PyCharm Logo-- Visual Studio Code --Visual Studio Code Logo-- IntelliJ --IntelliJ Logo-- Postman --Postman Logo-- JIRA --JIRA Logo--


βž• Additional Technical Skills

REST APIs --REST APIs Logo-- Node.JS --Node.JS Logo-- IBM watsonx --IBM watsonx Logo-- NPM --NPM Logo-- AI --AI Logo-- Machine Learning --Machine Learning Logo--
Agile --Agile Logo-- SCRUM --SCRUM Logo-- CI/CD --CI/CD Logo-- CLI --CLI Logo-- UML --UML Logo-- Systems Analysis --Systems Analysis Logo--
GitHub Actions --GitHub Actions Logo-- Power Automate --Power Automate Logo-- MS Office --MS Office Logo-- Linux --Linux Logo-- ELT/ETL --ELT Logo-- Figma --Figma Logo--




πŸ—’οΈ Notes

  • In November 2024, I consolidated ALL of my employer and school non-enterprise GitHub accounts into this one. Previously, this account was solely used for personal projects and some school projects.
  • The majority of my repositories are private as they are proprietary projects created for previous and current employers.
  • All public repositories are personal or school projects.

Pinned Loading

  1. Student-Peformance-Prediction-Bucknell-CSCI-349 Student-Peformance-Prediction-Bucknell-CSCI-349 Public

    Bucknell CSCI 349: Using Keras and multiple linear regression to predict student performance based on 32 input variables.

    Jupyter Notebook

  2. Color-Animation-MCCC-CIS-111B Color-Animation-MCCC-CIS-111B Public

    MCCC CIS 111B: A Java & MATLAB solution that analyzes and visualizes video/picture pixel data.

    MATLAB 2 1

  3. Railway-Management-System-MCCC-CIS-245 Railway-Management-System-MCCC-CIS-245 Public

    MCCC CIS 245: A simulation of a railway management system utilizing Java & SQL.

    Java 2 1

  4. AI-Dog-Identification-System-Bucknell-CSCI-357 AI-Dog-Identification-System-Bucknell-CSCI-357 Public

    A Python solution utilizing neural networks and deep learning (via TensorFlow & Keras) to classify images as containing dogs or not.

    Python

  5. AI-Game-of-Tag-Bucknell-CSCI-357 AI-Game-of-Tag-Bucknell-CSCI-357 Public

    Bucknell CSCI 357: Using Tensorflow & Unity to train two AIs to play the game of tag.

    ShaderLab

  6. AI-Vacuum-Bucknell-CSCI-357 AI-Vacuum-Bucknell-CSCI-357 Public

    Bucknell CSCI 357: Using Python ACT-R to train an AI "Roomba" to intelligently clean a virtual room.

    Python