Giter Club home page Giter Club logo

Interests include business analytics, data science, and software engineering, in no particular order. Currently seeking employment in one of those fields.

Past work includes cybersecurity data analytics with Microsoft Power BI, TensorFlow, and PyTorch. Also have worked with Keras and Scikit-learn in Python for deep learning algorithms and tools.

One of my current projects that I am working on: NBA Stats Lookup, a web application that navigates NBA players' statistics using NBA Stats.

Please also check out Grocery Price Analysis, a walkthrough of exploratory data analysis and linear regression modeling on average prices of groceries over the last 25 years.

Hoping to build connections in the data science and big data analytics communities.

Links to:

Graduate of University of San Francisco with a Bachelor of Science degree in Mathematics and a minor in Computer Science. Graduate of Golden Gate University with an Master of Science degree in Business Analytics. Completed the Google Cybersecurity Certificate program through Coursera in April 2024.

Pursuing a Master of Science degree in Computer Science from the University of Colorado Boulder.

Hope you enjoy and follow along; always willing to learn and collaborate!

Best,

Matt

Matthew Chin's Projects

baseballdatabank icon baseballdatabank

Development for baseball databank, an Open Data collection of historical baseball data

baseballstats icon baseballstats

An analysis on the last 150 years of Major League Baseball and the impact that slugging and hitting percentages of batters are in terms of Sabermetrics and other sports statistics.

bigdataswarch icon bigdataswarch

Source code for activities in the Software Architectures for Big Data course from Coursera.

code-in-latex icon code-in-latex

Coursework in mathematics which required the use of LaTeX in typing up of equations.

fantasy-nba-stats icon fantasy-nba-stats

The repository for providing users the statistics for NBA players for data lookup, fantasy advice, sports betting, and other uses of NBA player metrics.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

mathcirclesproblems icon mathcirclesproblems

This is a collection of problems and exercises that were solved as part of coursework for Mathematical Circles (MATH 314) at the University of San Francisco for the Fall 2020 term.

mathstatsapps icon mathstatsapps

Jupyter notebooks from coursework taken from a math course title "Statistics with Applications".

mathstuff icon mathstuff

Simple mathematical functions in Python language. Using a lot of print statements that may seem tedious but helpful should one day it be forgotten at some point in time.

mlselfteach icon mlselfteach

Teaching myself how to use ML libraries and tools in Python such as TensorFlow, Keras, and Scikit-Learn.

nbastatslookup icon nbastatslookup

A lookup page for an active player's NBA statistics and history.

numpy icon numpy

The fundamental package for scientific computing with Python.

r-personal-work icon r-personal-work

R code that I am posting to showcase what I have learned as both a graduate student and as someone who works on personal projects.

social_network icon social_network

A basic I/O menu that acts as a social networking program that can store and delete information when asked to do so by the user.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.