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Welcome - Check out my github repositories:

  • πŸ’‘ My next project will compare two identical machine learning models with one exception: how dates are handled for training data. The project will likely utilize bikeshare data from UC-Irvine's public ML data.
  • My most recent project was a sustainable supply chain template which utilizes geocoding, geospatial calculations, mapping with folium, and sustainability metrics to create a supply chain template that accounts for both transportation and facility greenhouse gas emissions (rather than only one or the other).
  • Seasonal Inventory is a multi-period inventory model with capacity constraints. The model utilizes ortools pywraplp.
  • Facility Location is a simple supply chain example combining optimization with geospatial visualization of the results.
  • Minimum Cost Flow is a supply chain model that chooses the optimal transportation lanes.
  • Ducks is data exploration, analysis, and metric development with R about how many eggs our ducks have laid since 2022.
  • Oregon Districts was a project in anticipation of 2020 Census data. The project uses python optimization that is explained with an accompanying article.
  • Portland Districts is a geospatial analysis utilizing census tract data to explore a few districting options for Portland's first potential city council districts.
  • Montavilla Grocery Stores displays folium's geospatial capabilities while exploring grocery store locations in East Portland.
  • Oregon Covid-19 contains charts about Covid-19 spread during the start of the pandemic; I wanted to know more about how the virus was spreading near me.
  • Weather has multiple Historical Weather Data Analysis with R and python. Democratizing weather data with R is a tutorial that I wrote in Towards Data Science that shows how to download US weather data and develops several interesting charts for gardeners or weather geeks. I wrote more articles about specific weather topics as well, such as the number of consecutive days above 80, 90, 100 degrees in Portland, Oregon (article), and summer nighttime lows temperatures across 26 US cities (article).

More

  • Read my articles on Medium and Towards Data Science: https://sabolch-horvat.medium.com/ πŸ““
  • 🚚 🚒 I work primarily on supply chain networks, but my github has a more diverse range of interests
  • 🌱🌲🌳 My wife and I are gardeners and home orchardists; our ducks also help with permaculture aspects of our system πŸ›πŸ¦†πŸ₯š. For duck videos, please see our youtube channel: https://www.youtube.com/c/gardeningwithducks

Sabi Horvat's Projects

music icon music

How to use pydub for mp3 trimming, et cetera

oregon-covid-19 icon oregon-covid-19

This model is available in both R script and R markdown formats to share more information about Oregon COVID-19 cases, through data collected by webscraping from within R.

python_optimization icon python_optimization

Models utilizing python optimization packages, ranging from supply chain models to an Oregon Congressional District model.

towardsds icon towardsds

Helpful files to support Towards Data Science articles on Medium

weather icon weather

These weather data projects could be very useful for gardeners. The first R script shows how to obtain and visualize information about the average first/last freeze in your US zipcode. The next analysis on precipitation for your zipcode shares insights on when you can expect the soil saturation to be ready for planting.

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