- π I'm currently working as a Battery Data Scientist at Liminal Insights where I focus on building tools to detect changes to the consistency & quality our systems' data generation
- π I've done this outside of work: 1. Created a state-of-the-art NLP model to predict a song's era from its lyrics 2. Created an experiment to understand how leaderboards impact one's risk tolerance
- π I studied: Deep Learning w/ Natural Language Processing & Causal Inference via Experimentation during my Masters Degree at UC Berkeley (MIDS).
- π¬ Ask me about: the best spots to camp/backpack around the Bay Area, Fantasy Football, the best '73 dead shows.
- π« How to reach me: Email: cmcgon@ischool.berkeley.edu or Linkedin: www.linkedin.com/in/casey-mcgonigle
-
caseymcgon/NFLPlayoffFantasyFootball(web app): (Jan 2020 - Present w/ releases each January) -- An annual side-project that automates & assigns the scoring for my family and friends' Playoff Fantasy Football Pool & presents the results
--> Selected Skills & Tools: python, streamlit, webscraping (bs4), Regex, and pandas, Google API
-
caseymcgon/climate-enviro-energy: (Mar 2022 - Present) -- Combined hundreds of climate-centric data sources into 1 repo to encourage data-centric understanding of & combat against climate change
-
caseymcgon/power-forward: (Jan 2021 - May 2021) -- A capstone project focused on understanding why Electric Vehicle Charging Stations succeed or fail and ultimately mapping how well potential new stations will perform.
--> Selected Skills & Tools: python, sklearn, Selenium webscraping, ArcGis, Flask
-
caseymcgon/EBCE-Disconnections-Research: (Jan 2020 - May 2020) -- The Executive Summary of a Semester-long Research Project for East Bay Community Energy (EBCE). We Built ML models to discern which buildings are likely to disconnect from the electrical grid.
--> Selected Skills & Tools: python, sklearn, matplotlib. Please note: this public repo unfortunately contains no code as that is property of by EBCE.
-
caseymcgon/Data100GradProject: (Apr 2020 - May 2020) -- A research project investigating what fantasy basketball scores actually measure, which factors tend to influence them, and how to best predict them
--> Selected Skills & Tools: python, pandas, & seaborn