One day you will thank the challenges that once forced you to change.

Data Scientist in game industry.

• Intelligent Customer Service System - Customer Complaint Summarization :

  Pioneer an advanced customer service system utilizing large language models (LLM) and GraphRAG technology to intelligently summarize customer complaints, replacing the original manual
  workflow and reducing labor costs by 20%, while providing search-like functionality. By implementing generative summarization with fine-tuned models, improve the system accuracy by 400%.

• Big Data Architecture Optimization :

  Redesign the existing big data architecture (Hadoop and Hive ecosystem), adopting modern data stack tools such as dbt and Airflow, while integrating DataOps and DevOps processes to significantly improve data quality and system stability. Establish comprehensive Data Governance standards to ensure data readability and consistency. Reduce storage waste by 30% and improve data pipeline stability by 40%, while ensuring high scalability and significantly lowering long-term maintenance costs.

• Data Engineering and Analysis in Gaming Ecosystem :

  Lead the extraction and processing of over 60 million daily records from game log databases, optimizing SQL queries and implementing data cleaning processes to improve data accuracy by 30%. Leverage Python automation scripts to reduce manual processing time by 40%, while analyzing the gaming ecosystem to generate insights on player behavior patterns, interaction chains, and money laundering.

• Reconstructed Web Scraping Environment and Project :

  Redesign web scraping infrastructure using Ubuntu and Docker, implement Airflow scheduling and Telegram alerts, reducing maintenance costs by 20% while improving data stability by 40%.