Gabriela de Queiroz is a Program Director at IBM, leading a team of developers focused on Data & AI Open Source projects. She is dedicated to democratizing AI, building tools, and launching innovative open-source initiatives. Gabriela is passionate about making data science accessible to all and is actively involved with several organizations to promote an inclusive and diverse tech community.

Saishruthi Swaminathan is a dedicated Data Scientist and Developer Advocate at IBM, where she plays a pivotal role in the Center for Open Source Data and AI Technologies (CODAIT). With a Master's degree in Electrical Engineering specializing in Data Science and a Bachelor's degree in Electronics and Instrumentation, Saishruthi is passionate about making data and artificial intelligence accessible to everyone. Her work focuses on developing open-source technologies that empower individuals and organizations to harness the power of AI for social good. In addition to her technical contributions, she actively leads initiatives aimed at educating rural children and organizing meetups centered on women empowerment in technology. Saishruthi's commitment to democratizing data science is evident through her efforts to share knowledge and advocate for ethical AI practices, making her a significant figure in the field of data science and community engagement.

Yiwen Li is a dynamic Software Engineer at IBM, where she excels as a developer advocate, data scientist, and product manager. With approximately three years of experience in the tech industry, she focuses on designing and developing data science solutions and machine learning models to address real-world challenges. Yiwen is an active speaker, having delivered engaging talks at prominent conferences such as JupyterCon, PyCon, and Global AI on Tour 2020, attracting hundreds of attendees. Her commitment to advancing the field of data science is evident through her contributions to educational platforms, where she shares her expertise in various courses related to data analysis and visualization. Passionate about bridging the gap between technology and practical application, Yiwen continues to make a significant impact in the realm of artificial intelligence and data-driven decision-making.

Tiffany Zhu is an accomplished Data Scientist at IBM, where she leverages her extensive experience as a software engineer to develop innovative open-source AI technologies. With a strong background in creating technology solutions for higher education, Tiffany's passion for data science and machine learning drives her efforts to make these advanced technologies more accessible to a broader audience. She has contributed significantly to the field through her involvement in educational content creation, including courses on data analysis and visualization with R. Tiffany holds a Bachelor of Science in Mathematical Sciences from Carnegie Mellon University and a Master of Science in Data Science from Columbia University, equipping her with a solid foundation in both statistical analysis and computer science. Her commitment to bridging the gap between complex AI concepts and practical applications reflects her dedication to empowering others through education and technology.