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:shipit:
Hey there, welcome to my GitHub profile! 👋
:shipit:
Hey there, welcome to my GitHub profile! 👋
93 followers · 116 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:

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

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

📜 52 Public Repositories

🔑 45 Private Repositories

I'm a Night 🦉

🌞 Morning                791 commits         ████░░░░░░░░░░░░░░░░░░░░░   14.71 % 
🌆 Daytime                1734 commits        ████████░░░░░░░░░░░░░░░░░   32.24 % 
🌃 Evening                1758 commits        ████████░░░░░░░░░░░░░░░░░   32.69 % 
🌙 Night                  1095 commits        █████░░░░░░░░░░░░░░░░░░░░   20.36 %

📅 I'm Most Productive on Tuesday

Monday                   549 commits         ███░░░░░░░░░░░░░░░░░░░░░░   10.21 % 
Tuesday                  1161 commits        █████░░░░░░░░░░░░░░░░░░░░   21.59 % 
Wednesday                760 commits         ████░░░░░░░░░░░░░░░░░░░░░   14.13 % 
Thursday                 979 commits         █████░░░░░░░░░░░░░░░░░░░░   18.20 % 
Friday                   655 commits         ███░░░░░░░░░░░░░░░░░░░░░░   12.18 % 
Saturday                 599 commits         ███░░░░░░░░░░░░░░░░░░░░░░   11.14 % 
Sunday                   675 commits         ███░░░░░░░░░░░░░░░░░░░░░░   12.55 %

📊 This Week I Spent My Time On

💬 Programming Languages: 
Python                   5 hrs 32 mins       █████████████░░░░░░░░░░░░   50.01 % 
sh                       1 hr 55 mins        ████░░░░░░░░░░░░░░░░░░░░░   17.33 % 
MDX                      1 hr 4 mins         ██░░░░░░░░░░░░░░░░░░░░░░░   09.69 % 
SCSS                     50 mins             ██░░░░░░░░░░░░░░░░░░░░░░░   07.60 % 
Markdown                 28 mins             █░░░░░░░░░░░░░░░░░░░░░░░░   04.24 % 

💻 Operating System: 
Mac                      11 hrs 4 mins       █████████████████████████   100.00 %

I Mostly Code in Jupyter Notebook

Jupyter Notebook         13 repos            █████████░░░░░░░░░░░░░░░░   36.11 % 
TypeScript               6 repos             ████░░░░░░░░░░░░░░░░░░░░░   16.67 % 
Python                   6 repos             ████░░░░░░░░░░░░░░░░░░░░░   16.67 % 
HTML                     2 repos             █░░░░░░░░░░░░░░░░░░░░░░░░   05.56 % 
Swift                    1 repo              █░░░░░░░░░░░░░░░░░░░░░░░░   02.78 %

Timeline

Lines of Code chart

Last Updated on 19/09/2024 18:41:31 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

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. Mac Setup Scripts Mac Setup Scripts
    1 
    #!/bin/zsh
    2 
    

    

    
3

    <<COMMENT
    

    

    
4

    -------------------------------------------------
    

    

    
5

    setup.zsh: A macOS configuration setup script
    

    

    

    

    

    7.