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Carl Klein's GitHub

Introduction

Welcome to my GitHub! My name is Carl Klein. When I'm not in the mountains, I'm fine tuning my data science skills.

Also see me on LinkedIn.

I'm currently pursuing a master's degree in data science (MSDS) at CU Boulder.

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Prior to this, I was working as a Benefits Data Analyst in the insurance industry. Initially, I had actuarial aspirations, inspired by my time at the University of Washington, where I studied mathematics (Bachelor of Arts in Mathematics, minor in Applied Mathematics).

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Small scale automation projects during my time as a Benefits Data Analyst helped me start to develop a programming repertoire. I kept building the programming toolkit, eventually merging this with my passion for mathematics lead me to the data science pathway.

Table of Contents

GitHub Stats

Github Stats Carl's Top Languages

Bias in Facial Classification ML Models

An exploratory and statistical analysis on the biases prevalent in facial recognition machine learning models.

Natural Language Processing with Articles

Created an NLP model which attempted to predict the publisher given a news article.

Disaster Response Dashboard

Created a pipeline which classifies messages from various sources during an emergency. Additional step taken in deploying to Flask web application.

COVID Analysis

Analyze COVID-19 from several sources using R.

Basic Data Dashboard

Template and instructions for deploying a dashboard which can be uploaded to a webpage using basic HTML, Flask, Plotly, and Bootstrap.

Flashcards

Application which allows users to build and combine decks of virtual flashcards. Supports mathematical notation and symbols.

Emergency Calls

Analysis of Seattle Police Department call center data.

Rudimentary Python Projects

As I was just starting to practice coding in python. Additionally, added to my portfolio prior to a fuller understanding of Git and writing "proper" READMEs.

VBA Projects

My inital projects were small scale automation projects while I was a Benefits Data Analyst. These were VBA based, as the majority of my team's work was in Excel. Additionally, these were added to my portfolio prior to a fuller understanding of Git and writing "proper" READMEs.

These models were built in a generalized scope prior to implementing at my workplace.

Carl Klein's Projects

aipnd icon aipnd

Code and associated files for the AI Programming with Python Nanodegree Program

can.viewify icon can.viewify

require() mustache and ejs modules as compiled CanJS views

expense_tracker icon expense_tracker

Takes in bank statements (csv format), automatically categorizes, appends appropriate data fields, and triggers a prompt for further information in the case of an unknown entry.

linear_algebra icon linear_algebra

Package containing common linear algebra tools using general python language.

machine_learning_templates icon machine_learning_templates

Python templates for different machine learning models. Features Regression, Classification, Clustering, Association Rules Learning, Reinforcement Learning, Natural Language Processing, Deep Learning, and Dimensionality Reduction models.

vba-master-database icon vba-master-database

This VBA project allows for a command center to parse through different excel files, gathering information to send to a "master" database

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