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isaiahsinger19/README.md

Hey, I'm Isaiah, otherwise known as Zi,

I'm a data analyst who enjoys reading and analyzing numbers.
Graduated with a B.S. in Statistics & Data Science from UC Santa Barbara,
I spend some of my time experimenting with data models and visualizations,
while I spend the rest of it reading, watching shows, and enjoying nature.

🌐 About Me

  • Currently learning advanced model tuning and cloud analytics (Azure, Python pipelines)
  • Always looking to collaborate on open data analysis or visualization projects
  • Passionate about turning messy datasets into clear, evidence-based insights
  • Fun fact: I built my first regression model before learning to drive(I still can't....)

🧠 What I Work With

  • Languages & Tools: R, Python, SQL, Power BI, Tableau, Excel
  • Libraries: tidyverse, ggplot2, tidymodels, pandas, scikit-learn
  • Focus Areas: Predictive modeling, exploratory analysis, and data storytelling

📊 Featured Projects

Smartphone Usage Analytics
Analyzed smartphone engagement patterns and behavioral trends using R (tidyverse, ggplot2, tidymodels).

Free Speech at UCSB
Statistical study exploring UCSB students’ perspectives on free speech through ANOVA and power analysis.

Used Car Price Analysis
Regression-based exploration of how power, brand, and maintenance factors shape used car resale prices.

📫 How to Reach Me

Popular repositories Loading

  1. smartphone-usage-analytics smartphone-usage-analytics Public

    Analyzed smartphone usage data to identify engagement patterns, retention rates, and behavioral clusters using R (tidyverse, ggplot2, tidymodels).

  2. free-speech-at-UCSB free-speech-at-UCSB Public

    Experimental analysis of UCSB students’ perspectives on free speech using ANOVA and power analysis in R.

  3. used-car-price-analysis used-car-price-analysis Public

    Statistical analysis of used car resale prices using regression models in R, examining maintenance, power, and brand effects.

  4. isaiahsinger19 isaiahsinger19 Public

    Personal GitHub profile showcasing data analysis and statistical modeling projects.