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Hi there 👋

I'm Nate, an undergraduate Data Science student specializing in ML & AI interested in applications of Computer Vision, Deep Learning, and Sports Analytics

I am open to any opportunities related to Data Science, Machine Learning, and Deep Learning applications. Please reach out to me via whichever is the most convenient of my listed contact methods. Thank you!

GmailGmail

Resume

📝 Experience.

Currently I am an Instructional Assistant in the Department of Cognitive Science at UCSD for a data science course of almost 800 students. My coursework this quarter consists of Deep Learning, Computer Vision, Geospatial Data Science, and Data Visualization.

In the past, I was

  • a Data Science Tutor in the Hacioglu Data Science Institute
  • a Machine Learning Intern at SDSC
  • a Data Science Apprentice working with Deloitte and a small business
  • a Back End Engineer developing CRISPR Screen Comparison Queries
  • a Data Scientist working in Bioinformatics contributing to CRISPR Screen Analysis and Infectious Disease Research.

📧 Other ways to Get in Touch.

Please feel free to contact me.

  • Email: (Preferred) Please identify your GitHub account username and how you found my profile.
  • Github: Click here to leave an issue. If you are contacting me about a project, please leave an issue in the relevant project repository.
  • LinkedIn: Click here to connect and message me)

My Interests.
  • Fashion
  • Music composition
  • Impressionism Artwork
  • Video games
  • Cafe hopping!
  • AI Research

Skills

Plotly scikit-learn Keras TensorFlow PyTorch CUDA Flask Dask Docker C++ Anaconda Ubuntu Visual Studio Code

More Information.

Places I've Studied:

  • Diablo Valley College
  • Pasadena City College
  • University of California, San Diego
  • University of California, Berkeley

I have experience in:

  • Data Science
  • (Un)supervised Learning
  • Bioinformatics
  • Front & Back End
  • UI/UX Design/Prototyping/Deployment
  • Machine Learning Engineering
  • Recommender Systems

Relative Coursework

  • Theoretical Foundations of Data Science, Optimization & Risk Minimization, EDA, AB Testing & Bootstrapping, Probability and Statistics, Data Structures & Algorithms, Intro to Machine Learning

Projects:

  • Regression and Statistical Analysis for a restaurant business
  • NBA Finals Public Sentiment Analysis
  • NBA Finals Winner Prediction

Noteworthy Accomplishments

  • Accepted to University of California, Berkeley, Los Angeles, and San Diego!
  • Apart of Chan Zuckerberg Biohub
  • Part of Deloitte's Mentorship Program
  • California All Northern Honor Band 2020

Nate d.'s Projects

baskettracking icon baskettracking

Basketball 🏀 action tracking and understanding using classical computer vision approaches and deep learning.

covid-19-data icon covid-19-data

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

cuda-tf-torch icon cuda-tf-torch

An Ubuntu 18.04 NVIDIA Docker image with CUDA 10.1 CuDNN 7 with TensorFlow and PyTorch

deloitte-case-study icon deloitte-case-study

Discovering Data Driven insights on how to address and prevent drug usage among teens and young adults

dsc190-kaggle icon dsc190-kaggle

Kaggle Challenge (Airbnb price prediction) 1st place solution for DSC 190 - Introduction to Data Mining at University of California, San Diego

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

finalprojects-sp20 icon finalprojects-sp20

COGS 108 Final Projects (Spring 2020) - Data Science in Practice by Prof. Shannon Ellis

joblisting-modeling icon joblisting-modeling

An ML project on the joblistings scraped from the Joblisting Webscraper project and explored in Joblisting Cleaning EDA.

leetcode-company-wise-problems icon leetcode-company-wise-problems

This is a repository containing the list of company wise questions available on leetcode premium. Every pdf file in this repository corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags.

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