About

Hello, I'm Wenxin Zhong. I work in game data analysis, focusing on how data analysis, statistical modeling, and experiments can help us understand user behavior and solve real product problems.

My interests center on time-series analysis, stochastic processes, causal inference, experiment design, and user-behavior analysis, all in the context of game products. I care less about isolated numbers than about the patterns behind them, the assumptions of a model, and whether a question can be tested in a sound way.

About this blog

I started this blog to record what I learn, practice, and think about.

As the problems I meet get harder, it has become clearer that many of them cannot be solved by a single tool or model. Whether the work is business analysis, data modeling, or research, it still goes through defining the question, forming hypotheses, choosing methods, checking results, and extracting regularities.

This site is meant to be a long-term notebook of that process in mathematics, statistics, data science, and related practice. It will not only keep final answers, but also how a problem was found, why a method was chosen, where a model breaks, and what failed along the way.

How I write

I start from problems, not from techniques. Whether a method is worth learning depends less on how advanced it looks than on whether it fits the question at hand. So I pay attention to:

• the mathematics behind a method;
• the assumptions a model needs;
• where the method applies and where it does not;
• how theory can be carried into a real setting.

I want to keep building the ability to connect theory and practice: to understand the ideas behind mathematical and statistical methods, and to use those methods on actual problems.

Longer-term aims

I hope to remain a practitioner of data science who keeps learning and exploring.

I will keep going deeper into mathematics, statistics, and machine learning, and keep asking how that knowledge helps us understand users, products, and other complex systems. For me, learning is not only accumulating facts; it is getting better at framing and thinking through problems.

This blog is a record of that path. I write to share the process with people who care about the same questions, and you are welcome to discuss and exchange ideas.