alex chai

<p>Responsible for designing and implementing a data lake architecture tailored for the lottery industry to integrate data from multiple sources, including lottery sales data, player behavior data, and transaction logs.</p><p> By optimizing data storage and query performance, the data processing speed was increased by 50%, enabling the analytics team to generate insights more efficiently and support real-time decision-making for lottery operations.</p>

<p>Lead the full development lifecycle of Databee Data Platform (Phase 1 & Phase 2), ensuring timely delivery and compliance with project objectives.<br>
Designed and developed the data quality module, including data cleaning, validation, and counting, to guarantee data accuracy and availability.<br>
Designed and developed the scheduling module, including task scheduling, job flow management, and resource allocation, to improve data processing efficiency.<br>
Participated in requirement analysis and system design, collaborating with team members to complete system architecture and module design.<br>
Successfully delivered both phases of the Databee platform on schedule, meeting all project goals.<br>
Enhanced data accuracy and reliability through comprehensive data quality controls.<br>
Optimized data processing workflows, significantly improving platform efficiency.</p>

<p>Responsible for on-site implementation of CITIC Group user data sharing project, enabling data cross-analysis to acquire customers, improve user retention, and optimize user experience.<br>
Participated in CITIC Bank risk control project, designing system architecture based on rule engine and real-time streaming engine frameworks.<br>
Developed scoring mechanism via rule engine to assess security levels of transfer requests.<br>
Implemented tiered business processing based on transfer request security levels to ensure safe banking operations.<br>
Maintained and optimized system performance to ensure high efficiency and accuracy in data processing.<br>
Improved user retention and engagement through effective data sharing and personalized service delivery.<br>
Enhanced risk control by implementing rule-based scoring and secure transaction processing workflows.<br>
Optimized system performance, ensuring stable, efficient, and accurate data handling for banking operations.</p>

<p>Responsible for bank credit business, including loan approval processes for four-tier and five-tier classification systems, and loan risk assessment system design.<br>
Developed approval workflows using the SSH framework.<br>
Supported the successful launch of the Postal Savings Bank of China's microfinance business.</p>

<p>Built and integrated a data lake based on Hadoop with Li Auto’s proprietary data warehouse and storage solutions, enabling efficient data storage and fast query performance.</p><p> Leveraged Li Auto’s cloud platform elastic computing capabilities to support large-scale data processing and analysis tasks.</p><p> Led ChatAI (NL2SQL) project, designing full architecture with natural language processing, SQL generation, and data query modules for converting natural language queries into SQL.</p><p> Selected and implemented an NL2SQL framework suitable for the automotive industry, combining deep learning models (BERT, GPT) with rule engines to ensure accuracy and scalability.</p><p> Successfully established an efficient data governance system, providing robust support for Li Auto’s digital transformation and business growth.</p><p> Optimized data query workflows and improved data accessibility, significantly increasing business team productivity.</p>

<p>Responsible for the architecture design of the anti-cheating data warehouse, ensuring its stability and high efficiency.</p><p> Designed and developed an offline big data warehouse processing framework, and redeveloped the Airflow scheduling module to support 1000+ task executions.</p><p> Led the design and development of the anti-cheating data platform, including the data quality module and data scheduling module, ensuring stable platform operation and accurate data transmission.</p><p> Optimized the data warehouse architecture and scheduling system, improving data processing efficiency and platform stability, providing reliable data support for anti-cheating analysis.</p><p> The optimized Airflow scheduling module increased task execution capacity to 1000+ significantly enhancing the reliability and efficiency of data scheduling.</p>

<p>Responsible for designing and implementing the Lambda architecture in Suntech's data center.</p><p> Utilized Hive analytical database to track and analyze the entire lifecycle of user course purchases.</p><p> Developed intelligent flow systems including conversational robots, recommendation engines, and consultant matching to enhance user interaction and engagement.</p><p> Successfully implemented a high-capacity Lambda architecture, ensuring stable processing of large-scale data and supporting real-time analytics.</p><p> Optimized user behavior tracking and recommendation systems, improving user engagement and conversion rates.</p>