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la-crime-data-analysis's Introduction

Welcome! ~~~

  • ๐Ÿ‘‹ Hi I am Nathaniel, a passionate BA/BS/CS learner, who loved computer, data, and acctg
  • ๐Ÿ‘€ Iโ€™m a current MS in Business Analytics student
  • ๐ŸŒฑ Iโ€™m learning data science tech
  • ๐Ÿ’ž๏ธ I want to learn more about coding!
  • ๐Ÿ“ซ Feel free to reach out if you want to collab on anything!

This repository consist of all the business/data analysis projects I have worked with. Below is the link to each projects:

On-going Project

Past Projects (Update Finished)

  • Customer Segmentation Analysis
    • Python 3.12
    • Descriptive Analysis
    • Data Modeling Selection, Predictive Modeling (i.e. Random Forest/GradientBoost/LinearRegression)
    • Written Report
    • Presentation Slides
  • LA Crime Data Analysis
    • R Studio Markdown
    • Descriptive Analysis / Time Trend Analysis
    • Predictive Model: Logistic Regression / k-NN
    • Written Report
    • Written Presentation Slides
  • Loan Status Prediction
    • Julia Jupyter Notebook
    • Descriptive Analysis
    • Predictive Modeling / Accuracy Score Report
    • Written Report
  • Cardiovascular Disease Dataset
    • R Studio Markdown
    • Descriptive Analysis
    • Predictive Models
    • Written Report

Collaboration

If you wish to collaborate on a new project, feel free to reach out to me at [[email protected]]

Languages

  1. Python 3.12 (Feature packages: numpy / scikit-learn and etc.)
  2. R Markdown (Feature packages: tidyverse / caret / pROC / ggplot 2 / randomForest and etc.)
  3. Julia (Feature packages: ShapeFile / FreqTables / Plots/StatsPlots/Statistics / MLJ-related packages and etc.)
  4. MySQL
  5. HTML / CSS
  6. Xcode

Tools

  1. R Studio
  2. VS Code / Jupyter Notebook / Markdown
  3. GitHub
  4. Tableau
  5. PowerBI
  6. Microsoft Offices (expert in Excel math / stat / vis and etc. tools)
  7. Actively Learning SAS

Thank you for viewing my Profile & Repositories

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