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natdosan/README.md

Hi there πŸ‘‹

I am graduating with a Bachelor's in Data Science concentrating in ML/AI from UC San Diego in March. Previously, I was a visiting student at UC Berkeley, and spent wonderful summers interning at Bio-Rad (2024), San Diego Supercomputer Center (2023), Chan Zuckerberg Biohub (2022). I am also committed to democratizing data science education and have served as an Instructional Assistant to over 1500 students at the Hacioglu Data Science Institute. After graduation I plan to pursue a Masters in Computer / Data Science. 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!

Outside of academia, I enjoy Olympic Weightlifting, art (Monet/Nara/Murakami), music composition (Chopin & Debussy), coffee & tea, interior design, and language learning (δΈ­ζ–‡, ζ—₯本θͺž, FranΓ§ais). Besides I also enjoy travelling, with my favorite experiences having been in Shanghai, Kyoto, and New York. If you have Hangzhou recommendations, please reach out!

GmailGmail

Resume

πŸ“ Experience.

Currently, I am working on experimentation & integration of OSWorld into LLM-Reasoners under the supervision of Zhiting Hu and Jorge Cheng.

In the past, I was

  • a Data Science Intern at Bio-Rad
  • an Instructional Assistant in Cognitive Science Department
  • an Instructional Assistant 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.

πŸ“§ 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

Pinned Loading

  1. ML-Reference ML-Reference Public

    Machine Learning Reference Materials

    Jupyter Notebook

  2. data100 data100 Public

    Forked from DS-100/textbook

    Learning Data Science, a textbook.

    Jupyter Notebook

  3. Deloitte-Case-Study Deloitte-Case-Study Public

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

    Jupyter Notebook 3

  4. tokyo-transit tokyo-transit Public

    2

  5. causal-analysis-nyc-transit causal-analysis-nyc-transit Public

    Jupyter Notebook

  6. Spotify-Persona-Clustering Spotify-Persona-Clustering Public

    Inspired by DSC10 Fall 2022 Midterm Project

    Jupyter Notebook