Intro
I am an aspiring data scientist, a change from my 16+ years as a classroom instructor. Although the career paths sound disparate, teaching has helped me develop many of the skills needed for data science, including the soft skills that data scientists often lack. How? I continuously analyze student data, apply my insights to actionable solutions, and communicate my analyses to various stakeholders, including students, colleagues, administrators, and the school district.
Combined with my natural affinity for numbers and languages (which extends to programming), my background in teaching has elevated my experience at University of Michigan's School of Information, where I am currently working towards a Master of Applied Data Science.
Work
TweeTERA: A PyPI Package
CLICK HERE FOR GIT
This project began as a follow-up to our Milestone, but was expanded using both unsupervised and supervised machine learning to be a one-stop package for Twitter sentiment analysis.
CLICK HERE to see an example interactive TweeTERA report
Milestone 1: Project Mood Ring (chosen as an exemplar project!)
CLICK HERE FOR GIT
This project aimed to analyze Tweet sentiment regarding major news events.
SIADS 523: Lighting the Lamp: FPHL in Hays, KS (chosen as an exemplar project!)
CLICK HERE FOR GIT
This project aimed to choose the best spot for a fictional Federal Prospects Hockey League expansion team (from a list of predetermined locations). There is a full Slidedoc presentation as well as a recorded pitch presentation.
CLICK HERE FOR PITCH PRESENTATION
Whiskey Blind Taste Test Flavor Profiles (a personal project)
CLICK HERE FOR GIT
This simple personal project was the result of collecting all participants' notes in a blind whiskey tasting, then compiling and categorizing each whiskey's flavor profile. I also attempted to predict the price and similar whiskeys.
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