About Me
I'm Andrew Simonson, a Data Scientist at Ecolab and a graduate Data Science student at Rochester Institute of Technology, having recently completed the Computer Science BS program (international relations minor) with a focus on probability theory.
I started in ~2017, reverse engineering probablistic logic models in games and developing interfaces to recreate my findings for friends. Now I develop tracable AI built on deductive reasoning, maintaning scientific methodology in an industry obsessed with implicit rules and exclusive empiricism. As the analysis grew more sophisticated, so too did the tech stack - to the point that I now manage most services, like this website, end to end, container image to insight visual.
I get bored and throw random stuff on this website. It's a form of unprofessional development and I swear by this form of learning.
I also have a resume for some reason.
Skills
Projects
RIT Hotspots
⬤ WIP
Live crowd migration map using RIT occupancy data
Antietam-Conococheague Watershed Monitoring
⬤ complete
Geospacial analysis of Maryland's Antietam and Conococheague sub-watersheds, monitoring water quality and temperatures through the summer months for reporting to governmental review boards for environmental protection
Automotive Brand Valuation Analysis
⬤ complete
Brand valuation analysis of the used car market, measuring value decay by mileage to extrapolate qualities such as percieved reliability and persistent value of luxury features.
Calorimetry Analysis Engineering
⬤ complete
An analytical toolkit designed for reactive chemistry analysis, especially calorimetry. Works include automatic analysis, alerting unusual and dangerous results derived from a wide range of testing envrionments and equipment
Geography of Alternative Energy
⬤ complete
An ArcGIS geospacial analysis comparing the difference in effectiveness of wind, solar, and geothermal energy across the continental 48 United States.
OccupyRIT
⬤ complete
Collects RIT Gym Occupancy data, determining busiest workout times
Portfolio Website
⬤ WIP
This website is my personal sandbox where I've integrated some of my data projects via docker cluster. It is self hosted and zero-trust secure while remaining dynamic and free of the tech debt that comes with pre-designed sites and excessive framework application. Yeah, I can do E2E.
Slate
⬤ complete
Slate is a web app designed to help event coordinators schedule events by congregating participant calendar data. Includes Computer Science House account integration
Monte Carlo Engine for NationsGame
⬤ complete
A simulator for the browser game, NationsGame, to analyze unit composition and predict in-game victors and unit statistics. Unfortunately, NationsGame is now defunct. Limited screenshots of functionality.
