One day you will thank the challenges that once forced you to change.
Data Scientist in game industry.
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Intelligent Customer Service System - Customer Complaint Summarization :
Led the creation of an advanced customer service system that employs large language models (LLM), LangChain, and prompt engineering for effective summarization of customer complaints. Utilized a mix of abstractive and extractive summarization techniques, fine-tuning the models using Odds Ratio Policy Optimization (ORPO) to enhance both automation and accuracy of the generated summaries.
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Data Engineering and Analysis in Gaming Ecosystem :
Led the extraction and processing of over 60 million daily records from game log databases, covering player behavior and game mechanics. Enhanced data accuracy by 30% using advanced SQL cleaning techniques and reduced manual processing by 40% through automated Python scripts. Partnered with machine learning engineers to develop predictive models that improve gaming experiences and strategic decision-making.
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Reconstructed Web Scraping Environment and Project :
Transitioned from CentOS to Ubuntu to redesigned the external web scraping environment, containerized the project using Docker, and managed scheduling with Airflow. Implemented data quality assurance mechanisms and integrated Telegram alerts, reducing maintenance costs by 20% and eliminating the need for frequent manual updates of ChromeDriver. Enhanced data stability by 40%.
