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“There are two kinds of people in the world: those who can extrapolate from incomplete data,"

Hey there! I'm a fifth year at the University of California, Berkeley. I'm double majoring in Statistics and Computer Science. I'm a Texas native, growing up in Port Arthur, Texas. My hobbies include breakdancing, video games, origami, and sports. I enjoy meeting new people and seeing new places. This summer, I am finishing up my last class and am the Head TA for Machine Structures. I welcome all full-time opportunities. My recent interests lie in machine learning, data mining, and statistical inference. Below is my journey at Cal and why I chose Data Science!

  • Fall 2012 - Spring 2013

    Mechanical Engineering

    I entered Cal studying Mechanical Eng. and took intro level math, engineering, physics, chemistry, and programming courses. I found that I was more fascinated with the math and programming and switched to Applied Math!

  • Fall 2013 - Spring 2014

    Applied Mathematics

    After falling in love with Multivariable Calculus and Linear Algebra, I moved on to advanced courses. Though proofs and theorems were interesting, I found myself wanting something more "applied." Enter Statistics, prominent for solving many real world problems!

  • Fall 2014 - Fall 2015


    I found my niche in Stats, and it found a special place in my heart. I was intrigued with all you could do with data, and dived into statistical learning. As of Fall 2015, I have completed the Stats degree with a concentration in Applied Math. My lingering interest in coding and love for data drove me towards Computer Science!

  • Spring 2016 - Summer 2017

    Computer Science

    Fast forward to the present, where I'm working towards a degree in CS. I enjoy coding and fusing CS with Stats. Areas of Computer Science that interest me are data structures, algorithms, databases, artificial intelligence, and machine learning. I intend to finish CS and graduate in Summer 2017, using all my skills to pursue Data Science!


Here are some of my latest projects.

Text Classification

Classifying the category of an excerpt


Detecting type II diabetes

US Election Results

Predicting the nation's winning party

Household Expenditures

Analyzing expenses by education levels

Counting Crowds

Estimating the size of a crowd

Visual Object Recognition

Reproducing a study's results

Contact Me

Want to collaborate? Maybe say hello? Or hire me? Drop me a line!