Yu J.

Key Skills

Software

Other

Top Subject Matter

Game user value prediction

in-game behavior analysis

monetization analytics

Top Data Types

Text

Image

Top Task Types

Classification

Freelancer Overview

Data Labeling and ML Modeling Engineer (SLG Game Monetization Prediction Project). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, 集宁师范学院 (2025). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Data Labeling and ML Modeling Engineer (Financial Loan Default Risk Analysis)

OtherTextClassification

In the 金融风控-贷款违约预测分析项目, I led the data gathering and curation of financial datasets for use in machine learning credit risk models. My responsibilities included web data scraping, cleansing, and labeling features relevant to loan default risk. I performed model development, feature engineering, and validation for optimal predictive accuracy. • Labeled financial risk features from raw web-scraped datasets. • Designed entity and feature classification schemes for machine learning use. • Visualized and validated feature sets for downstream modeling with Python tools. • Deployed results on a web platform for team and client access.

2024 - 2024

Data Labeling and ML Modeling Engineer (SLG Game Monetization Prediction Project)

OtherTextClassification

In the SLG多人在线手游的氪金预测分析项目, I was responsible for collecting, organizing, and analyzing player behavioral and transaction data. I used statistical and machine learning techniques to build and optimize predictive models for player spending. My work involved feature engineering, model selection, and continuous refinement of forecasts to improve accuracy and stability. • Labeled and engineered features from game behavior and payment logs. • Evaluated algorithmic outputs for performance and retrained models. • Collaborated with team members to refine model metrics based on real user data. • Used Jupyter notebook and Python ML stack for modeling and classification tasks.

2024 - 2024

Education

Work History