Projects, notes, and resources to help me in my journey to 10,000 hours
- 👋 Hi, I’m Jonathan Chia
- 👀 I’m interested in making boba, basketball shot mechanics, and investing
- 🌱 I’m currently a business analytics manager at JTV and an AI masters student at Johns Hopkins University
- 💞️ I’m looking for data science volunteering opportunities in the mental health industry
- 📫 Message me on LinkedIn!
- See my excel scoreboard to see how I'm progressing towards my goals!
- Propensity Score Matching and Causal Inference
- Google Lightweight Media Mix Modeling
- Process Behavior Charts
- Customer Lifetime Value
- Improving Multi-Touch Attribution Models with CLV and Waterfall Curves
- Log/Log Elasticity Regression for Pricing Decisions
- Word2Vec for Content-Based Recommender Systems
- Bootstrapping and Permutation Tests
- Customer Segmentation using Clustering vs. Word2Vec
- Statistical Rethinking - Learning Causal Inference using a Bayesian Framework
- PyMC Marketing - Bayesian Open Source MMM
- CausalPy - Bayesian Causal Analysis
- Recommender Systems - Learning from Microsoft's state-of-the-art repository
- Blog Post - How I Got the Tensorflow Developer Certificate in 2021