Hey there! I'm Lydia :)
I graduated with my Master's in Statistics from Cal State East Bay in May 2023, and I currently work at Intel as a Data Scientist. My interests include exploring the intricacies of data visualization, mainly using the R programming language, but I'm also learning Python and Tableau.
You can find me elsewhere at:
Practicality of Using Transformations in Multiple Linear Regression
- Final Project for STAT 694 Applied Research in Statistics & Biostatistics, California State University East Bay, Fall 2022
- Compared the multiple linear regression (MLR) model with the inverse transformation dependent response variable to see how much prediction power is lost by not using a transformed response variable to fit a MLR model, and whether it is worth the inability to easily explain your model when using a transformed response variable.
Gender Wage Inequality in STEM
- Final Project for STAT 632 Linear and Logistic Regression, California State University East Bay, Spring 2022
- Explored the data for STEM college majors to find associations that influence median wages and create a predictive model for median wages.