BEGIN:VCALENDAR CALSCALE:GREGORIAN VERSION:2.0 PRODID:-//Events Calendar//iCal4j 1.0//EN BEGIN:VTIMEZONE TZID:America/New_York LAST-MODIFIED:20260306T231828Z TZURL:https://www.tzurl.org/zoneinfo/America/New_York X-LIC-LOCATION:America/New_York X-PROLEPTIC-TZNAME:LMT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-045602 TZOFFSETTO:-0500 DTSTART:18831118T120358 END:STANDARD BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19180331T020000 RRULE:FREQ=YEARLY;UNTIL=19200328T070000Z;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19181027T020000 RRULE:FREQ=YEARLY;UNTIL=19201031T060000Z;BYMONTH=10;BYDAY=-1SU END:STANDARD BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19210424T020000 RRULE:FREQ=YEARLY;UNTIL=19410427T070000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19210925T020000 RRULE:FREQ=YEARLY;UNTIL=19410928T060000Z;BYMONTH=9;BYDAY=-1SU END:STANDARD BEGIN:DAYLIGHT TZNAME:EWT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19420209T020000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:EPT TZOFFSETFROM:-0400 TZOFFSETTO:-0400 DTSTART:19450814T190000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19450930T020000 END:STANDARD BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19460428T020000 RRULE:FREQ=YEARLY;UNTIL=19730429T070000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19460929T020000 RRULE:FREQ=YEARLY;UNTIL=19540926T060000Z;BYMONTH=9;BYDAY=-1SU END:STANDARD BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19551030T020000 RRULE:FREQ=YEARLY;UNTIL=20061029T060000Z;BYMONTH=10;BYDAY=-1SU END:STANDARD BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19740106T020000 RDATE:19750223T020000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19760425T020000 RRULE:FREQ=YEARLY;UNTIL=19860427T070000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19870405T020000 RRULE:FREQ=YEARLY;UNTIL=20060402T070000Z;BYMONTH=4;BYDAY=1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20070311T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20071104T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260504T072905Z DTSTART;TZID=America/New_York:20260506T120000 DTEND;TZID=America/New_York:20260506T130000 SUMMARY:PhilaSUG presents “A Game Changer for Efficient SAS Programming Usi ng ChatGPT” LAST-MODIFIED:20260504T072905Z LOCATION:https://events.teams.microsoft.com/event/276bcdf1-8d10-4ef3-bf32-3 a9e0da864a5@b1c14d5c-3625-45b3-a430-9552373a0c2f TZID:America/New_York UID:message-865 DESCRIPTION:Click the link below to go to the event page:\nhttps://communit ies.sas.com/t5/Upcoming-Events/PhilaSUG-presents-A-Game-Changer-for-Effici ent-SAS-Programming/ec-p/985720#M865\n\nPlease join Jyoti Agarwal as she p resents\, “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. Leveragi ng ChatGPT’s capabilities can enhance productivity by assisting with code generation\, debugging\, and workflow optimization. By demonstrating pract ical applications and techniques\, this presentation illustrates how ChatG PT can streamline statistical programming\, reduce errors\, and empower pr ogrammers with innovative tools to tackle common challenges.   Register to day.   About the presenter: Jyoti Agarwal is a Certified Advanced SAS Prog rammer 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. Jyo ti 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 mana ging cross-functional teams\, vendor oversight\, and process optimization continues to enhance efficiency and data quality across projects. As the f ounder of G.CREW\, a global initiative that unites and empowers Gilead’s c linical data sciences community\, Jyoti has driven an 89% improvement in e ngagement and retention. Through her inclusive leadership and commitment t o collaboration\, she continues to foster a culture of openness\, innovati on\, and continuous improvement.   Beyond her professional accomplishments \, Jyoti is deeply committed to giving back to her community. She enjoys m entoring and volunteering\, inspiring children to explore creativity throu gh art and outdoor activities. A passionate nature enthusiast\, she finds balance and inspiration in the mountains\, fueling her approach to leaders hip and connection.   Jyoti holds a Master’s degree in Computer Science an d remains dedicated to advancing technological innovation in statistical p rogramming. She leads by example\, inspiring others to think boldly\, embr ace diversity\, and work toward meaningful impact.   X-ALT-DESC;FMTTYPE=text/html:

Click the link below to go to the event pag e:


h ttps://communities.sas.com/t5/Upcoming-Events/PhilaSUG-presents-A-Game-Cha nger-for-Efficient-SAS-Programming/ec-p/985720#M865

Please j oin \;Jyoti Agarwal as she pr esents\, “A Game Changer for Efficient SAS Programming Using ChatG PT” on May 6\, from 12:00 to 1:00 PM.

\n

 \;

\n

This pres entation explores the potential of integrating ChatGPT\, a natural languag e processing model developed by OpenAI\, into SAS programming within the p harmaceutical industry. Leveraging ChatGPT’s capabilities can enhance prod uctivity by assisting with code generation\, debugging\, and workflow opti mization. By demonstrating practical applications and techniques\, this pr esentation illustrates how ChatGPT can streamline statistical programming\ , reduce errors\, and empower programmers with innovative tools to tackle common challenges.

\n

 \;

\n

Regist er today.

\n

 \;

\n

About the presenter:

\n

Jyoti Agarwal is a Certified Advanced SAS Programmer with over 15 years of exper ience in statistical programming within the pharmaceutical and CRO industr ies. She has contributed across multiple therapeutic areas\, including onc ology\, inflammation\, and virology. Jyoti is recognized for delivering hi gh-quality SDTM\, ADaM\, and TFL outputs for regulatory submissions\, ensu ring compliance with industry standards while meeting the complex needs of clinical trials. Her leadership in managing cross-functional teams\, vend or oversight\, and process optimization continues to enhance efficiency an d data quality across projects.

\n

As the founder of G.CREW\, a globa l initiative that unites and empowers Gilead’s clinical data sciences comm unity\, Jyoti has driven an 89% improvement in engagement and retention. T hrough her inclusive leadership and commitment to collaboration\, she cont inues to foster a culture of openness\, innovation\, and continuous improv ement.

\n

 \;

\n

Beyond her professional accomplishments\, J yoti is deeply committed to giving back to her community. She enjoys mento ring and volunteering\, inspiring children to explore creativity through a rt and outdoor activities. A passionate nature enthusiast\, she finds bala nce and inspiration in the mountains\, fueling her approach to leadership and connection.

\n

 \;

\n

Jyoti holds a Master’s degree in C omputer Science and remains dedicated to advancing technological innovatio n in statistical programming. She leads by example\, inspiring others to t hink boldly\, embrace diversity\, and work toward meaningful impact.

\n

 \;

END:VEVENT END:VCALENDAR