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Qiao, Yanke (乔延柯)
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Senior Data Scientist,
AI Research Department, Pingan Tech
Shanghai, China
Yanke, China
E-mail: qiaoyanke106@gmail.com
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About me
I received my B.S. degree from Zhengzhou University in 2008 and my M.S. degree from Shanghai Jiao Tong University in 2011.
Currently, I am a senior data scientist in the AI Research Department at Pingan Tech Co., China.
As a dedicated AI professional, I am committed to applying advanced technologies to solve real-world problems. With a passion for coding and knowledge sharing, my work focuses on advancing AI through practical applications such as recommendation systems, natural language processing, and large language models。
Work experience
Senior Data Scientist, Ping An Technology Company, 03.2019-Present
Led to build an Classification and Evaluation models for Customer Service Outbound Call Scripts
Designed and implemented recommendation models for more than 100 million customers from multiple Business Units
Senior Algorithm Engineer, Pudong Development Bank Credit Card Center, 12.2017-03.2019
Led to develop credit card risk behavior recognition system.
Led to build Credit Card Churning model,improved credit risk assessment with the Credit Card Overdue forecast model
Data Mining Engineer, Envision Energy Data Product Department, 09.2011-12.2017
Projects
Classification and Evaluation models for Customer Service Outbound Call Scripts, 03.2024-Present
Processed a large scale of customer service conversation scripts
Built fine-tuned LLMs(e.g. ChatGLM-6b) for customer objection sentence recognition, objection type classification, and evaluation of customer service representatives
Recommendation models for multiple Business Units, 01.2022-12.2023
Built models to predict customer preferences for Business Units
Empowered recommendation models with general capabilities of LLMs
Leveraged LLMs to generate recommendation embeddings, integrated with tradition recommendation models
Credit Card Risk behavior recognition, 07.2018-12.2018
Collaborated with business teams to extract features, build models, and identify abnormal customer behaviors
Developed models for credit card churn, overdue forecast, and fraud detection, achieving strong performance metrics
Credit Card Products Recommendation, 05.2018-07.2018
Grid Power Load Forecasting, 07.2017-11.2017
Research
Research interests
Patents
Artificial intelligence.(inventor) Product recommendation method and device based on neural network, equipment and medium. CN202310603872.6. issued August 01, 2023
Artificial intelligence.(inventor) Product recommendation method and device, computer equipment and storage medium. CN202110663685.8. issued June 16, 2021
Artificial intelligence.(inventor)Information pushing method and device based on transfer learning and computer equipment. CN202011422020.X. issued January 12, 2021
Artificial intelligence.(inventor)Message pushing method based on target object activeness and related equipment. CN202011086787.X. issued August 31, 2021.
Artificial intelligence.(inventor)Course classification method and device based on multi-modal feature representation, equipment and medium.
the technical field of financial science and technology.(co-inventor) Seat outbound method and device, equipment and storage medium. CN202310587430.7. issued August 18, 2023.
Artificial intelligence.(co-inventor) Customer feature positioning method and device, equipment and storage medium. CN202210079887.2. issued April 29, 2022.
Artificial intelligence.(co-inventor) User loss prediction method and device, computer equipment and storage medium. CN202110448391.3. issued April 25, 2021.
Artificial intelligence.(co-inventor) Unsupervised clustering method and device, electronic equipment and medium.CN202111189639.5. issued December 31, 2021.
Artificial intelligence.(co-inventor) Factor screening method and device based on connected graph, equipment and medium. CN202110015583.5. issued April 2, 2021.
Artificial intelligence.(co-inventor) Data analysis method and device based on position information, equipment and medium.CN202110416584.0. issued April 19, 2021.
Artificial intelligence.(co-inventor) Code scanning information detection method and device, equipment, and storage medium. CN202111168620.2. issued October 08, 2021.
Artificial intelligence.(co-inventor) Abnormal sample detection method based on improved isolated forest and related equipment. CN202110969433.8. issued September 21, 2021.
Artificial intelligence.(co-inventor) APP buried point behavior classification method and device, computer equipment and storage medium. CN202011462475.4. issued March 16, 2021.
Artificial intelligence.(co-inventor) Material classification method and device, computer equipment and storage medium. CN202011559080.6. issued April 13, 2021.
Papers
Qiao Yanke, Li Bin, Zhang hongyan, 2010. Development and Realization of Medical Equipment Cost-effective Analysis System for Polyclinic. Chinese Medical Equipment Journal
Qiao Yanke, Li Bin, Yin Yuanfang, 2009. The development of Medical Equipment Cost-effective Analysis System.(in Chinese). The 9th Conference of Chinese society of Clinical Engineering
Conference & Competitions
2024 World AI Conference & High-level Meeting on Global AI Governance
ATEC Pay Risk Competition, Top10 (Rank 8)
The 9th Conference of Chinese society of Clinical Engineering of Chinese Medical Association
Education
M.S., Biomedical Engineering, Shanghai Jiao Tong University, 07.2011
B.E., Biomedical Engineering, Zhengzhou University, 07.2008
Awards: Second-class Scholarship, Outstanding Graduate
Main Courses: C Programming Language, principle of microcomputer, linear algebra, Computer Control System.
A brief cv.
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