Mitchell Newman

I’m a data science and machine learning self-starter, learning through hands-on projects. My passions are acquiring surprising strategic insights from data based on big picture critical thinking and quantitative analysis, cutting edge technical ideas, machine learning and artificial intelligence, especially in how we can use such tools to learn more about people. I made the highest known accuracy classification model for predicting the official competitive smogon tier for each pokemon, as a tool to help pokemon designers predict the results of their creation and to help create further gaming tools to give competitive players an advantage in the game. This required web scraping, extensive data cleaning and dataset creation, extensive original feature engineering (which some previous work falsely concluded to be too difficult to perform), and an advanced two-stage random forest implementation specially designed to work with categorical variables (h2o.ai). Going along with that, I created a professional competitive Pokémon dataset that is up-to-date to June 2021 which will be placed on Kaggle for more widespread community usage. I've also modeled the ticket price of over 200 ski resorts in the United States based on their features using a systematic data science pipeline and random forest techniques, performed t-tests to determine whether patients with insurance are being charged differently than patients without insurance based on a Kaggle medical dataset, used the Quandl API to calculate a variety of financial information about the year 2017, and more besides. I'm extremely interested in studying people via advanced cognitive and personality theories like Humanitarian Socionics, Vultology and Objective Personality, and accordingly I have a lot of interest in adaptively working with people and learning more about them. Currently I'm Learning: Tableau/PowerBI, A/B testing, recommendation systems, time series analysis, natural language processing, anything promising to my main interests. Please contact me with any opportunities in data science or data analytics, or with any unique and interesting opportunities to apply and improve my skills in my main interests!

Ideal Workplace Values

I would be at home in any environment that values autonomy and quirkiness, respects creative and intensive problem solving and in which learning, research and good natured interactions with others are some of the most important values.