I will translation, coding, ai model building, web development

I earned both my Bachelors and Masters degrees in Statistics from Wuhan University of Technology. I received rigorous systematic training in quantitative statistics, structural equation modeling, hypothesis testing and machine learning theories during my 6 years of university study, building a solid theoretical foundation for all kinds of data analysis and modeling tasks.

I own 11 years of professional algorithm experience in fintech, specializing in credit risk modeling, time-series forecasting and multi-modal data mining. I have developed XGBoost, MMoE and LLM-RAG intelligent analysis systems for multiple financial enterprises, which significantly lifted core business metrics. I am proficient in mainstream tools including Stata, RStudio, Mplus, NVivo, Python and SQL, able to process structured tables, sentiment text and user sequential behavior data.

I took part in the Kaggle Store Sales Time Series Forecasting competition and ranked top 5%. This contest improved my ability to clean messy raw data, tune model performance, conduct robustness checks and deliver complete, easy-to-interpret research reports for academic papers and commercial projects.

I provide three tiered modeling