Nicholas Silva

Intro

I am passionate about electric vehicles and work on data science projects related to their practical implementation. Check out my work.

Work

An analysis of the changes in California commuting patterns based on American Community Survey data from 2010, 2014, and 2018.
Comparison of California Commuting Data from 2010-2018

A regression model that predicts a car's combined city/highway MPG based on features from the Environmental Protection Agency's vehicle data.
Fuel Economy Regression Model

A number of unsupervised learning techniques are applied to transaction data from charging stations in the Netherlands in order to cluster electric vehicle charging station customers into separate usage segments.
Electric Vehicle Charging Usage Segment Clustering

Lithium-ion battery testing cycle data is supplied to a long short-term neural network in order to train a model that estimates the state of charge of the battery in the future based on the battery's voltage, temperature, and current
Electric Vehicle Battery State of Charge Estimation with Long Short-Term Memory Neural Networks

About

My name is Nicholas Silva. I am passionate about renewable energy technology and climate change. I studied Chemical Engineering at Oregon State University and received my Bachelor of Science degree in 2015. In my senior year, I was able to act as the chair of Oregon State University's Student Sustainability Initiative. After college, I decided to learn how to build electric vehicles. I joined Tesla as a production associate, intending to work my way up. I have spent 2 years working on the S/X battery module line and 2 years building Model 3's in General Assembly. During the pandemic, I was able to start studying data science and have begun creating projects related to electric vehicles.

Contact

• fa-linkedin
• GitHub

Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';