Introduction

Projects, notes, and resources to help me in my journey to 10,000 hours

About Me

• 👋 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!

10,000 Hours

• See my excel scoreboard to see how I'm progressing towards my goals!

Portfolio Highlights

• Propensity Score Matching and Causal Inference

• Google Lightweight Media Mix Modeling

• Process Behavior Charts

Finished Projects to Add to this Portfolio

• 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

Next Projects

• 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