Ethan Allavarpu

MS Statistics Data Science | Stanford University | Class of 2024

BS Statistics | University of California, Los Angeles (UCLA) | Class of 2022

About

I am pursuing Master of Science in Statistics Data Science at Stanford University. Before Stanford, I graduated summa cum laude with a Bachelor of Science (B.S.) in Statistics from the University of California, Los Angeles (UCLA) in June 2022. My fields of interest include sports, business, healthcare, environmental science, and political science.

Next summer (Summer 2023), I will be a Data Science and Visualization Intern at Apple.

You can learn more about me through this website or my Stanford profile. I would love to collaborate on research or take on an internship in the coming months. If interested, please contact me at eallavar@stanford.edu, ethanallavarpu@ucla.edu, or ethan.allavarpu@outlook.com.

Technical Skillset

  • Python: scikit-learn / nltk / fuzzywuzzy / keras / TensorFlow / PyTorch / selenium / pandas / numpy / scipy / statsmodels / matplotlib / seaborn

  • R: tidyverse (dplyr / ggplot / readr) / lubridate / RSelenium / RShiny / ggmap

  • Tableau, SQL, Microsoft Excel

  • Machine Learning: Linear regression / Multiple regression / Ridge regression / LASSO / Logistic regression / Multinomial regression / SVM / KNN / Decision trees / Bagging / Random forests / AdaBoost / Gradient Boosting / Neural Networks / PCA / K-means clustering / Agglomerative hierarchical clustering / EM Algorithm / Natural Language Processing (NLP) / Regular expressions (regex)

  • Statistical Tests: t-tests / Chi-square / ANOVA / Factorial ANOVA / ANCOVA / Factorial designs / MANOVA / MANCOVA / Kolmogorov-Smirnov (KS) tests / Levene's tests for homogeneity of variances