Responsible for data mining, understanding, and identification in the field of holographic risk. I built a pipeline from scratch, enhancing the data and algorithm capabilities for semantic understanding and analysis of crypto addresses. This included tasks such as label system construction, label mining, address clustering, label estimation based on graph learning, and more. I contributed to the company by accumulating billion-level on-chain address label data.In the future, I will focus on Off-Chain responsibilities, including data and algorithm work related to Anti-Fraud, such as KYC (Know Your Customer), Device Intelligence, Real-time Fraud Modeling, etc.

Responsible for the Growth Algorithm of Offline Payment Merchants. Providing algorithmic support for acquiring new merchants, promoting their activities, making recommendations for their operations, and attracting traffic within the service industry. Achieved the mining of leads and acquisition of new merchants from a few hundred thousand payment code merchants to tens of millions using Uplift pricing recommendation algorithms. This helped to improve business operation efficiency while saving nearly a billion in budget. Implemented multi-channel customer acquisition strategies for ecosystem development merchants, significantly improving traffic efficiency through target mini-programs and coupon-based potential customer mining.During this time, I built a comprehensive merchant profile from scratch, covering industry, business behavior, and geographical surroundings, using algorithm-driven insights combined with factual labels to support various online and offline operational platforms like "Huiyan." Developed ROI optimization algorithms that modeled merchant conversion rates for activities and reward values using deep learning. This was complemented by modeling of cost-saving crowd behaviors, saving nearly a billion in operational costs. Reversed the business direction for the "Receive Money and Win Rewards" project for small and micro-merchants, which successfully qualified for the year-end Super Support award in the payment sector. I was responsible for data insights for this product, including breaking down the North Star index, analyzing growth paths, and exploring supply. Provided personalized investment proposals through multiple channels, effectively improving traffic efficiency by over 50%.In an open ecosystem scenario, I ran algorithms for brand understanding and potential customer mining for products like Misi Fu, achieving nearly a 200% increase in traffic efficiency.