PhilaSUG presents “A Game Changer for Efficient SAS Programming Using ChatGPT”
Please join Jyoti Agarwal as she presents, “A Game Changer for Efficient SAS Programming Using ChatGPT” on May 6, from 12:00 to 1:00 PM.
This presentation explores the potential of integrating ChatGPT, a natural language processing model developed by OpenAI, into SAS programming within the pharmaceutical industry. Leveraging ChatGPT’s capabilities can enhance productivity by assisting with code generation, debugging, and workflow optimization. By demonstrating practical applications and techniques, this presentation illustrates how ChatGPT can streamline statistical programming, reduce errors, and empower programmers with innovative tools to tackle common challenges.
About the presenter:
Jyoti Agarwal is a Certified Advanced SAS Programmer with over 15 years of experience in statistical programming within the pharmaceutical and CRO industries. She has contributed across multiple therapeutic areas, including oncology, inflammation, and virology. Jyoti is recognized for delivering high-quality SDTM, ADaM, and TFL outputs for regulatory submissions, ensuring compliance with industry standards while meeting the complex needs of clinical trials. Her leadership in managing cross-functional teams, vendor oversight, and process optimization continues to enhance efficiency and data quality across projects.
As the founder of G.CREW, a global initiative that unites and empowers Gilead’s clinical data sciences community, Jyoti has driven an 89% improvement in engagement and retention. Through her inclusive leadership and commitment to collaboration, she continues to foster a culture of openness, innovation, and continuous improvement.
Beyond her professional accomplishments, Jyoti is deeply committed to giving back to her community. She enjoys mentoring and volunteering, inspiring children to explore creativity through art and outdoor activities. A passionate nature enthusiast, she finds balance and inspiration in the mountains, fueling her approach to leadership and connection.
Jyoti holds a Master’s degree in Computer Science and remains dedicated to advancing technological innovation in statistical programming. She leads by example, inspiring others to think boldly, embrace diversity, and work toward meaningful impact.
