threnjen / boardgamegeek

BoardGameGeek Recommender System is a start-to-finish project, from sourcing the data to a hybrid recommender system utilizing both content-based and collaborative filtering.

Hi there, I'm Jen!

I love cats, board games, snowboarding, and data science!

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With 15+ years experience as a small business owner and entrepreneur, I bring independence, drive, and a self-starting work ethic to the data science realm. As a recent graduate I have hands-on experience in a variety of disciplines including machine learning, deep learning, statistics, recommender systems, NLP, data analysis, and data cleaning. My projects were consistently lauded as amongst the top percentile of the Flatiron program. I regularly write for Towards Data Science on Medium, where my publication on Model Stacking was selected as a weekly editor's choice as well as added to the TDS tutorials section. On Kaggle I rank in the top 1% of the Dataset chain for my high-quality sourced dataset contributions.

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• 🔭 I’m currently working on BoardGameGeek Games Recommender and Monte Carlo AI Framework
• 🌱 I’m currently learning SQL and brushing up on my Probability & Statistics
• 👯 I’m looking to collaborate on Game AI
• 🤔 I’m looking for help with Speed Optimization for Collaborative Filtering
• 💬 Ask me about Model Stacking, my favorite thing!
• 📫 How to reach me: [email protected]
• 😄 Pronouns: She/her
• ⚡ Fun fact: Board Games are my favorite thing!

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Find me around the web!

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