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:shipit:
Hey there, welcome to my GitHub profile! 👋
:shipit:
Hey there, welcome to my GitHub profile! 👋
98 followers · 182 following

Achievements

Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Highlights

Organizations

@FullMoonAI

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wyattowalsh/README.md

👋 Hey there GitHub :octocat:

My résumé Twitter LinkedIn Medium Kaggle CodePen

Projects 📝 📊

↓ Please see the pinned repositories at the bottom of the page for my past projects ↓

Technologies 👨‍💻 💾

Click here to expand ↩️

Programming Languages

PythonRJavaMatlabSQLJavaScriptTypeScriptHTML5CSS3Ruby

AI & LLMs

OpenAI LangChain LangGraph LlamaIndex

Data

Collection

Web ScrapingScrapyAPIsETLELT

Storage

Neo4jSQLiteMySQLPostgreSQL

Visualization

MatplotlibPlotlyD3.jsTableau

Processing

Apache SparkApache AirflowMultiprocessingPandasNumPyApache ArrowApache Kafka

Modeling

scikit-learnPyCaretKerasTensorflowPyTorchSciPyOpenCVOpenAI Gym

Deployment

MLOps & Data Orchestration

Kedrodagster

APIs

FlaskFastAPI

Cloud Technologies

Amazon AWSGoogle CloudMicrosoft Azure

CI/CD Platforms

GitHub ActionsTravis CI

Version Control Platforms

GitHubGitLabDagsHub

Workflow Tools

GitLinuxShell ScriptBashZshAnacondaPoetryJupyterDockerKubernetesPytestPython HypothesisPyEnvVisual Studio CodeSublime TextGNU Make

Optimization Tools

AMPLIBM CPLEXGurobiPuLPMetaheuristicsReinforcement Learning

Web Development

ReactNext.jsGatsbyTailwind CSSMaterial User Interface (MUI)Chakra UIGraphQLESLintnpmYarnJestCypressStorybookVercelGoogle Search ConsoleGoogle Analytics

Miscellaneous

JiraConfluenceSphinx DocsFigmaCanvaNotionAsanaObsidianMicrosoft OfficeMicrosoft ExcelMermaid.jsGoogle ColabReplitMarkdownLaTeXOverleafRaspberry PiArduinoAutodeskBoxy SVGisortblackPylintautoflakePylamaHomebrew

My Wakatime Stats 👨‍💻 🗓️

Click here to expand ↩️

Code Time

Lines of code

🐱 My GitHub Data

📦 4.7 MB Used in GitHub's Storage

💼 Opted to Hire

📜 58 Public Repositories

🔑 51 Private Repositories

I'm a Night 🦉

🌞 Morning                841 commits         ███░░░░░░░░░░░░░░░░░░░░░░   12.31 % 
🌆 Daytime                1978 commits        ███████░░░░░░░░░░░░░░░░░░   28.96 % 
🌃 Evening                2290 commits        ████████░░░░░░░░░░░░░░░░░   33.53 % 
🌙 Night                  1721 commits        ██████░░░░░░░░░░░░░░░░░░░   25.20 %

📅 I'm Most Productive on Tuesday

Monday                   464 commits         ██░░░░░░░░░░░░░░░░░░░░░░░   06.79 % 
Tuesday                  1670 commits        ██████░░░░░░░░░░░░░░░░░░░   24.45 % 
Wednesday                835 commits         ███░░░░░░░░░░░░░░░░░░░░░░   12.23 % 
Thursday                 1422 commits        █████░░░░░░░░░░░░░░░░░░░░   20.82 % 
Friday                   1090 commits        ████░░░░░░░░░░░░░░░░░░░░░   15.96 % 
Saturday                 490 commits         ██░░░░░░░░░░░░░░░░░░░░░░░   07.17 % 
Sunday                   859 commits         ███░░░░░░░░░░░░░░░░░░░░░░   12.58 %

📊 This Week I Spent My Time On

💬 Programming Languages: 
sh                       2 hrs 34 mins       ██████░░░░░░░░░░░░░░░░░░░   24.74 % 
TypeScript               1 hr 55 mins        █████░░░░░░░░░░░░░░░░░░░░   18.53 % 
MDX                      1 hr 25 mins        ███░░░░░░░░░░░░░░░░░░░░░░   13.75 % 
Python                   1 hr 24 mins        ███░░░░░░░░░░░░░░░░░░░░░░   13.55 % 
SCSS                     1 hr 8 mins         ███░░░░░░░░░░░░░░░░░░░░░░   10.97 % 

💻 Operating System: 
Mac                      10 hrs 24 mins      █████████████████████████   100.00 %

I Mostly Code in Jupyter Notebook

Jupyter Notebook         13 repos            █████████░░░░░░░░░░░░░░░░   34.21 % 
Python                   7 repos             █████░░░░░░░░░░░░░░░░░░░░   18.42 % 
TypeScript               6 repos             ████░░░░░░░░░░░░░░░░░░░░░   15.79 % 
Makefile                 4 repos             ███░░░░░░░░░░░░░░░░░░░░░░   10.53 % 
HTML                     2 repos             █░░░░░░░░░░░░░░░░░░░░░░░░   05.26 %

Timeline

Lines of Code chart

Last Updated on 09/11/2024 18:40:39 UTC

My GitHub Stats :octocat: 📈

Click here to expand ↩️

My Starred Repos ✨ and Associated Word Clouds ☁️

Click here to expand ↩️

➔ Check out projects I've starred by language or by topic ✨

Starred Projects Word Clouds

By Language

By Topic

Stargazers Over Time ✨ 🔭

Click here to expand ↩️
Stargazers over time
WakaTime Stats GitHub metrics update awesome-stars Generate starred projects wordclouds Generate QR code contact card

→ Reach out and let's build something cool. ←

Past Projects

Pinned Loading

  1. regularized-linear-regression-deep-dive regularized-linear-regression-deep-dive Public

    Explanations and Python implementations of Ordinary Least Squares regression, Ridge regression, Lasso regression (solved via Coordinate Descent), and Elastic Net regression (also solved via Coordin…

    Jupyter Notebook 13 1

  2. NBA-attendance-prediction NBA-attendance-prediction Public

    Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% c…

    Jupyter Notebook 10 3

  3. explorations-in-envy-free-allocations explorations-in-envy-free-allocations Public

    A small project to using the AMPL modeling language to formulate, CPLEX to solve, and Python to visualize mixed-integer linear programs for several envy-free fair division problems. Includes a full…

    JetBrains MPS 4

  4. higher-education-simulation higher-education-simulation Public

    Full Python implementation of an agent-based simulation model of generalized higher education institutions. Thousands of experiments are conducted and model feature significance is found through re…

    Jupyter Notebook 4

  5. Implementation of the Elastic Net fo... Implementation of the Elastic Net for Regression in Python Using NumPy
    1 
    def elastic_net(X, y, l, alpha, tol=1e-4, path_length=100, return_path=False):
    2 
        """The Elastic Net Regression model with intercept term.
    3 
        Intercept term included via design matrix augmentation.
    4 
        Pathwise coordinate descent with co-variance updates is applied.
    5 
        Path from max value of the L1 tuning parameter to input tuning parameter value.
  6. Configurable macOS Setup Scripts Configurable macOS Setup Scripts
    1 
    <h1 style="font-size: 2.5rem; font-weight: 750; color: #4b5563; padding-bottom: 0; margin-bottom: 0.5rem;"> 🖥️ Configurable macOS Setup Scripts</h1>
    2 
    <span style="font-size: 1.15rem; font-weight: 750; color: #4b5563; background-color: #f3f4f6;">Easily automate macOS environment setup with essential tools, applications, and Zsh customizations.</span>
    3 
    <hr style="border: 0; border-top: 1px solid #e5e7eb; margin-top: 0.5rem; margin-bottom: 1rem;">
    4 
    
              
    
              
    
                5
                
    <p style="font-size: 1.2em; color: #4b5563;">
    
              
    
          
    
    
    
  
    

    7.