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followers: 82.0 following: 106.0 repos: 35.0 gists: 16.0

Name: Wyatt Walsh

Type: User

Company: JPMorgan Chase & Co. (JPMC)

Bio: Associate Software Engineer III @                    JPMorgan Chase & Co. (JPMC)      ⎯⎯⎯⎯⎯⎯⎯⎯           ⟶ 📈 🚀 🌟 :octocat: :bowtie: :shipit: 🌟🚀 📈 ⟵   

Twitter: wyattowalsh

Location: New York City, New York, United States of America

Blog: w4w.dev/links

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I grew up in the Eastern Sierras in California, spent a few years in Connecticut at boarding school (Go Bearcats!), then came back to the West Coast for my undergraduate work in Industrial Engineering and Operations Research at the University of California, Berkeley (Go Bears! 🐻).

I usually like to work with data science, machine learning, optimization/mathematical-programming, or similar fields, however, I am boundless in my curiosity when it comes to computers, mathematics, and computer science and I am happy to collaborate on projects across any of those disciplines.

When not behind the keyboard, you can catch me out mountain biking, playing a disc sport (Ultimate Frisbee or Disc Golf 🥏), messing around with music (production 🎼, DJing 🎧,or playing piano 🎹), or spending some sort of time with friends and loved ones.

Reach out, it would be great to hear from you and maybe we could even develop some good personal or professional ties. 😊

My résuméTwitterLinkedInMediumKaggleCodePen

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Projects 📝 📊

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


Technologies 👨‍💻 💾

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Programming Languages

PythonRJavaMatlabSQLJavaScriptTypeScriptHTML5CSS3Ruby

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 👨‍💻 🗓️

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Code Time

Lines of code

🐱 My GitHub Data

📦 4.6 MB Used in GitHub's Storage

💼 Opted to Hire

📜 35 Public Repositories

🔑 34 Private Repositories

I'm a Night 🦉

🌞 Morning                402 commits         ██░░░░░░░░░░░░░░░░░░░░░░░   09.27 % 
🌆 Daytime                1463 commits        ████████░░░░░░░░░░░░░░░░░   33.74 % 
🌃 Evening                1532 commits        █████████░░░░░░░░░░░░░░░░   35.33 % 
🌙 Night                  939 commits         █████░░░░░░░░░░░░░░░░░░░░   21.66 % 

📅 I'm Most Productive on Tuesday

Monday                   447 commits         ███░░░░░░░░░░░░░░░░░░░░░░   10.31 % 
Tuesday                  874 commits         █████░░░░░░░░░░░░░░░░░░░░   20.16 % 
Wednesday                686 commits         ████░░░░░░░░░░░░░░░░░░░░░   15.82 % 
Thursday                 743 commits         ████░░░░░░░░░░░░░░░░░░░░░   17.14 % 
Friday                   445 commits         ███░░░░░░░░░░░░░░░░░░░░░░   10.26 % 
Saturday                 505 commits         ███░░░░░░░░░░░░░░░░░░░░░░   11.65 % 
Sunday                   636 commits         ████░░░░░░░░░░░░░░░░░░░░░   14.67 % 

📊 This Week I Spent My Time On

💬 Programming Languages: 
Python                   6 hrs 40 mins       █████████████░░░░░░░░░░░░   51.20 % 
Git Config               2 hrs 38 mins       █████░░░░░░░░░░░░░░░░░░░░   20.27 % 
Markdown                 2 hrs 22 mins       █████░░░░░░░░░░░░░░░░░░░░   18.24 % 
sh                       34 mins             █░░░░░░░░░░░░░░░░░░░░░░░░   04.47 % 
TypeScript               16 mins             █░░░░░░░░░░░░░░░░░░░░░░░░   02.10 % 

💻 Operating System: 
Mac                      13 hrs 2 mins       █████████████████████████   100.00 % 

I Mostly Code in Jupyter Notebook

Jupyter Notebook         13 repos            ███████████░░░░░░░░░░░░░░   43.33 % 
Python                   6 repos             █████░░░░░░░░░░░░░░░░░░░░   20.00 % 
Makefile                 3 repos             ██░░░░░░░░░░░░░░░░░░░░░░░   10.00 % 
TypeScript               2 repos             ██░░░░░░░░░░░░░░░░░░░░░░░   06.67 % 
Swift                    1 repo              █░░░░░░░░░░░░░░░░░░░░░░░░   03.33 % 

Timeline

Lines of Code chart

Last Updated on 25/04/2024 18:36:36 UTC



My GitHub Stats :octocat: 📈

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My Starred Repos ✨ and Associated Word Clouds ☁️

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

Starred Projects Word Clouds

By Language

By Topic


Stargazers Over Time ✨ 🔭

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Stargazers over time


Past Projects

Wyatt Walsh's Projects

data-science-notes icon data-science-notes

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

explorations-in-envy-free-allocations icon explorations-in-envy-free-allocations

Formulation in AMPL and evaluation in CPLEX of mixed-integer linear programs for several fair division problems under envy-freeness. Visualization in Python of resultant model and solver data

higher-education-simulation icon higher-education-simulation

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 regression, SHAP, and permutation.

nba-attendance-prediction icon nba-attendance-prediction

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% capacity) on test set.

nbadb icon nbadb

Data Extraction (from https://stats.nba.com) and Processing Scripts to Produce the NBA Database on Kaggle (https://kaggle.com/wyattowalsh/basketball)

personal-website icon personal-website

Files for my personal website, w4w.dev. Built using NextJS, Typescript, MUI, and MDX, the site hosts my bio, resume, projects, blog, and social media links.

poetry-dependency-updater icon poetry-dependency-updater

A Python script for automatically updating all dependencies in a Poetry-managed project to their latest versions.

regularized-linear-regression-deep-dive icon regularized-linear-regression-deep-dive

Explanations and Python implementations of Ordinary Least Squares regression, Ridge regression, Lasso regression (solved via Coordinate Descent), and Elastic Net regression (also solved via Coordinate Descent) applied to assess wine quality given numerous numerical features. Additional data analysis and visualization in Python is included.

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