10000 Jbudnick (Jacob Budnick) · GitHub
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Jbudnick/README.md

Connect with me:

Jbudnick5@gmail.com Jbudnick | LinkedIn Jacob.Budnick | Tableau Jbud | Codewars Jbud | Codewars Jbud | Leetcoode

Languages and Tools:

Python Pandas Tableau AWS Docker Flask
SQL SQL MySQL SQLite PostgreSQL MongoDB
Spark Visual Studio Code Git GitHub Windows Mac

Current Projects
1. Colorado Water and Soil Quality Investigation
2. Financial Analysis and Prediction of Stock Prices

Github Stats Github Stats

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  1. Colorado-Hispanic-COVID-19-Susceptibility Colorado-Hispanic-COVID-19-Susceptibility Public

    COVID-19 has been disproportionally affecting the hispanic community in Colorado. I have explored trends in environmental factors, education, and food access in regions of the state with high hispa…

    Jupyter Notebook 1

  2. Covid-19-Forecasting Covid-19-Forecasting Public

    Forecasting the Future of COVID-19 with Social Distancing - what level of social distancing should be maintained so that we see a consistent drop in the number of new cases of the virus? What are t…

    Jupyter Notebook 1

  3. World_Renewable_Electricity World_Renewable_Electricity Public

    Are the majority of developed countries transitioning to cleaner energy? In this project, I investigate whether there is a statistically significant increase in the proportion of electricity genera…

    Jupyter Notebook 1

  4. Interview-Attendance-Case-Study Interview-Attendance-Case-Study Public

    Using data sourced from Kaggle on interviews in India, we predict interview attendance based on factors such as gender, whether a 3 hour reminder call was issued, etc.

    Jupyter Notebook 2

  5. Bigfoot_Sightings_Case_Study_Public Bigfoot_Sightings_Case_Study_Public Public

    Using data from JSON files, we use NLP (Natural Language Processing) to separate text description into different topics to determine most common factors that contribute to bigfoot sightings.

    Jupyter Notebook 2

  6. Mock_Interview_App Mock_Interview_App Public

    I created a web app to help job seekers prepare for interviews by pulling random questions from an interview question dataset.

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