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Data Analysis, Probability

Location:
San Gabriel, CA
Salary:
20
Posted:
April 15, 2021

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Resume:

Elton Chan

adlpco@r.postjobfree.com 213-***-**** linkedin.com/in/chan-elton

Education

University of California, Berkeley Aug 2019 - May 2022 B.A in Data Science B.A. in Economics Cumulative GPA: 3.64 Relevant Coursework:

● Data Science: Computational Structures in Data Science, Data Structures and Algorithms, Principles and Techniques of Data Science, Artificial Intelligence, Advanced Programming in R

● Statistics/Mathematics: Probability for Data Science, Multivariable Calculus, Linear Algebra

● Economics: Economic Analysis (Micro & Macro), International Environmental Economics, Law and Econ II Skills

Tech Languages: Python, Java, SQL, R, HTML, Git

Libraries: Numpy, Pandas, Matplotlib, Seaborn, ggplot2, SciKit-Learn, Platforms: AWS S3, Heroku, PyCharm, IntelliJ, Tableau, Jupyter Notebook, Excel, RStudio Actuarial Exams: Exam P (Probability)

Technical Experience

Data Science Intern Jan 2021 - Present

Sea Warden

● Used data science methodologies to advance sustainable developments within the aquaculture industry

● Ran OLS regression to determine statistical significance of linear relationships between weather data and confidence metrics

● Developed a classification model to predict useful ponds using random forest and Python Sci-kit Learn Machine Learning Teaching Assistant Sep 2019 - Jan 2021 UC Berkeley College of Engineering

● Lectured for the 100 student course, Essential Tools for Data Scientists, also leading weekly office hours and discussion sections on topics including machine learning, data analysis, statistical principles Extracurricular Involvements

Vice President of Cultural Affairs Jan 2021 - Present Data Science Society at Berkeley

● Organized internal events and activities for a 120+ student organization utilizing AWS S3 Bucket System, Discord’s Bot API, and Heroku’s 24/7 app hosting service Personal Projects

NBA MVP Linear Regression Model

● Correctly predicted the Most Valuable Player for the 2019 NBA season by training a linear regression model on 20 years of data scraped with the NBA API Twitch Chat Analysis

● Performed VADER sentiment and data analysis on the live chats on the streaming platform, Twitch, analyzing the biases associated with streamers’ gender using the Twitch API Spam Email Classifier

● Formulated an effective spam detection algorithm with 98.4% accuracy by engineering features optimized on keywords, punctuation, and formatting Movie Genre Classifier

● Developed a k-NN classification system with 96.7% accuracy by training the model on frequency of phrases and words from movies scripts pulled from IMSDB



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