Daozhe X.

Key Skills

Software

Don't disclose

Top Subject Matter

Java application development / WeChat mini program

Mathematical modeling data analysis (feature selection, regression, prediction)

Top Data Types

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Computer Code Programming

Top Task Types

No task types listed

Freelancer Overview

Internship: Java programming and mini program development at 源辰信息科技有限公司 (2023.7-2023.8). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, SPSS, and Excel. Education includes Bachelor of Science, University of Nanhua (2024). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Computer Programming and Coding.

Labeling Experience

Internship: Java programming and mini program development at 源辰信息科技有限公司 (2023.7-2023.8)

Don't disclose

During the internship, you learned and implemented parts of Java-based application development with an emphasis on coding and integrating functionality. You applied programming to support a small application workflow rather than performing explicit data annotation tasks. Overall, the experience strengthened your ability to handle datasets in typical app logic and development cycles. • Learned Java programming and contributed to Java project development. • Participated in developing and learning a WeChat mini program workflow. • Focused on writing and integrating application code. • Practiced software engineering skills relevant to downstream AI/data work.

2023 - 2023

2022校级数学建模比赛：数据特征筛选、SPSS相关性分析、多元回归与区间预测、Excel敏感性分析

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In the school-level mathematical modeling activity, you processed and prepared data for analysis by filtering relevant features. You used SPSS to perform linear correlation analysis and built a multiple regression model to support interval prediction. You then performed sensitivity analysis on the final dataset using Excel to evaluate robustness of the results. • Performed feature selection and data filtering after choosing a topic. • Used SPSS to compute linear correlations among data indicators. • Built a multiple regression model for interval prediction. • Used Excel to conduct sensitivity analysis on the final results.

2022 - 2023

Education

Work History