Kai-Teh Tzeng

I’m a meticulous, results-focused Data Analyst (PhD) with 7+ years of econometric modeling experience and 3 years in machine learning/NLP. I leverage Python and SQL to translate complex, large-scale datasets into actionable business insights, KPIs, and high-level statistical analysis that drives organizational optimization.

In my current role as an AI Web Engineer at Voiceping 2.0 (Tokyo, Japan), I’ve led the design and development of an automated subtitle labeling feature, built an NLP-based system to auto-extract domain-specific vocabulary and detect ASR misrecognitions, and curated/preprocessed large-scale Chinese and Korean audio datasets for LLM training. My PhD research and publications include resource-allocation optimization using OLS and Generalized Random Forest, and causal inference with a Difference-in-Difference framework published in Scientific Reports (2021).