natdosan / deloitte-case-study

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

Hi there 👋

I'm Nate, pursuing a Bachelors in Data Science with a concentration in in ML & AI at the University of California, San Diego.

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!

• 📫 How to reach me: [email protected]
• I won't be reachable at my other school email, [email protected], so the above is the best method of contact

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.

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📧 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.
  • My personal email is '[email protected]`.
  • My academic emails are listed above.
• 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)

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My Interests.

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

Skills

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