Tom Hocquet

San Diego, CA, 92103

EDUCATION

Bachelor of Science (B.S.) - Cognitive Science with a Specialization in Machine Learning and Neural Computation, Minor in Data Science, Minor in Mathematics University of California San Diego, San Diego, CA Sep 2020 - March 2024

My Academic Path

I really enjoy machine learning as a topic as the possibilities are endless! I added a minor in data science to improve my coding skills and learn the background knowledge needed before using machine learning (i.e. data cleaning, data structures, etc.). The minor is the same classes as the major, without the final project that data science majors are required to do. I have taken two data optimization classes to earn more about the math behind a lot of machine learning algorithms. This made it so I had enough credit to add a math minor to my degree. Some of my projects I have worked on can be found on my website linked at the top of my resume.

Relevant Experiences:

UCSD Lab Assistant: Fall Quarter 2023

Working on Data Analysis with Dr. Christine Johnson

Worked on second-by-second data regarding dolphin behavior. The dataset was about 65000 data points and required extensive data cleaning. I then have run data analysis, hypothesis testing and other statistical test to determine whether some of the associations in the data was random or not. The findings I have made should be published in a scientific paper later this year.

UCSD Instructional Assistant (IA)

I really enjoy teaching and being able to pass on knowledge. Being able to help someone succeed in always something that I enjoy doing. Below are some experiences that I have teaching!

Fall Quarter 2022

Taught COGS 100, Cyborgs Now and in the Future with Professor David Kirsh This class is about how do we define a “cyborg,” also covered AI and the implication of it in the future. Being an IA required me to know the material to teach it, hold office hours and grade student’s work.

SKILLS

Programming Languages: Python, Java, R

Relevant Python Libraries: NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow

Machine Learning: Unsupervised and Supervised Machine Learning methods.

Communication Skills: Four years’ experience in customer service

Relevant Classes Taken

COGS 118A/B: Supervised/Unsupervised Machine Learning (gradient descent, neural networks, SVM, Ensemble Learning)

COGS 108: Data Science in Practice

COGS 181: Neural Networks and Deep Learning

DSC 20: Programming and Basic Data Structures for Data Science

DSC 30: Data structures and Algorithms for Data Science

DSC 40A: Theoretical Foundations of Data Science

DSC 80: Theoretical Foundations of Data Science

DSC 140A: Probabilistic Modeling and Machine Learning

Math 173A/B: Data Optimization Methods for Data Science

Math 183: Statistical Methods

Math 189: Exploratory Data Analysis and Inference