Chuanyun Zang serves as a Principal Data Scientist at AT&T, where he leverages his extensive expertise in data science and machine learning to drive innovation and enhance customer experiences. With a robust background in mathematics and statistics, particularly in hyper-graph theory and combinatorics, Chuanyun brings...
Chuanyun Zang serves as a Principal Data Scientist at AT&T, where he leverages his extensive expertise in data science and machine learning to drive innovation and enhance customer experiences. With a robust background in mathematics and statistics, particularly in hyper-graph theory and combinatorics, Chuanyun brings a unique analytical perspective to complex data challenges. His current focus is on leading the development and implementation of advanced Question-Answering Search models for Customer Care, utilizing Generative AI to streamline customer interactions and improve service efficiency.
In his role, Chuanyun is at the forefront of integrating cutting-edge technologies into AT&T's customer service framework. His hands-on experience with big data projects encompasses a diverse range of applications, including forecasting, computer vision, and natural language processing (NLP). By harnessing tools such as Apache Spark, Hive, and Hadoop, he effectively manages and analyzes vast datasets, enabling the extraction of actionable insights that inform strategic decision-making.
Chuanyun's commitment to innovation is evident in his collaborative approach to project management, where he works closely with cross-functional teams to ensure the successful delivery of data-driven solutions. His proficiency in Python and artificial intelligence further enhances his capability to develop sophisticated algorithms that address real-world problems. As a thought leader in the field, Chuanyun not only contributes to AT&T's technological advancements but also plays a pivotal role in shaping the future of customer care through data science and generative AI.