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With 15 years of climbing experience and meticulous record keeping of 2500+ routes I have climbed, along with data available on the well know website Mountain Project and open source project Open Beta, I have a treasure trove of climbing and geospatial data. This project uses Python, Pandas, Geopandas, Folium, Postgres w/ PostGIS, Google Maps API to perform EDA, build classification models using Decision Trees, Random Forest, and displays GPS data on an interactive map.
While I'm new to Kaggle competitions, I completed the Titanic Challenge with an accuracy score of 79%. The max score tends to top out around 82% (without cheating). I plan to compete in these compitions regularly as I grow my experience in data science.
I'm building a professional Ruby on Rails website to sell photography from my 2024 Sabbatical. Expected completion early 2025. See a small sample over on the Sabbatical page
As an avid rock climber, I contribute to the only open source database of climbing info available. Open Beta also feeds my data science project Climb Wise. Github Project.