About

Wenting Pan is a highly skilled Data Engineer/Scientist with 4.87 years of relevant experience. Currently, she is working at EQ Works as a Data Engineer/Scientist, where she is involved in designing and implementing data pipelines, analyzing and visualizing data, and building machine learning models. Her expertise in data engineering and research science has helped her to contribute significantly to the company's growth. Before joining EQ Works, Wenting worked as a Software/Data Engineer at a stealth mode airline tech company, where she was responsible for developing and maintaining the company's software systems. She also worked as a Software Engineer at Mercatus Technologies Inc., where she gained experience in developing and testing software applications. Wenting holds a Bachelor of Science degree in Computer Science (specialist), Mathematics (minor), and Physics (minor) from the University of Toronto. During her academic career, she gained expertise in data structures, algorithms, and programming languages like Java, Python, and C++. She also worked on several research projects, which helped her to develop a deep understanding of research methodologies and data analysis. Wenting's technical skills include Data Engineering, Research Scientist, and Software Engineering. She has experience in using various tools and technologies like Hadoop, Spark, SQL, NoSQL, and AWS. Her ability to work with large datasets and complex algorithms has helped her to solve critical business problems. In summary, Wenting Pan is a highly skilled Data Engineer/Scientist with a strong academic background and relevant experience in the industry. Her expertise in data engineering, research science, and software engineering has helped her to contribute significantly to the growth of the organizations she has worked with.