BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//The National Consortium for Data Science - ECPv6.5.0.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://datascienceconsortium.org
X-WR-CALDESC:Events for The National Consortium for Data Science
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260226T170000
DTEND;TZID=America/New_York:20260226T180000
DTSTAMP:20260525T071709
CREATED:20260212T231934Z
LAST-MODIFIED:20260213T160742Z
UID:10000102-1772125200-1772128800@datascienceconsortium.org
SUMMARY:Spring 2026 NCDS Virtual Career Panel
DESCRIPTION:Join panelists working in sports analytics\, growth equity\, and data and AI security as we explore the paths that lead to a career in data science. The journey looks different for everyone\, but a dream job is the destination. We’ll discuss a few examples of what it takes to get there. We’ll also dive into the hard and soft skills that turn a top candidate into the perfect candidate for a role in this competitive field. \nPanelists: \n\nLeena Dave – Truist | Senior Vice President\, Data Governance Metrics and Reporting\nPeter Engler – Seattle Seahawks | Seattle Seahawks Football Research Assistant\nNamrata Jumani – Radian Capital | Associate\nZixin Nie – RTI International | Data Privacy Specialist\n\nRegister for the Event
URL:https://datascienceconsortium.org/event/career-spring-2026/
LOCATION:via Zoom
CATEGORIES:Career Panel,Careers in Data Science,Networking,Professional Development,Upskilling
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260127T120000
DTEND;TZID=America/New_York:20260127T130000
DTSTAMP:20260525T071709
CREATED:20251015T165222Z
LAST-MODIFIED:20251112T022059Z
UID:10000099-1769515200-1769518800@datascienceconsortium.org
SUMMARY:LinkedIn Like a Data Scientist: Strategic Networking for the Digital Age
DESCRIPTION:We’re delighted to host Becky Brown once again for an updated session exploring LinkedIn best practices. Becky has held multiple positions at SAS during her decades-long career at the software giant. These days\, Brown helps sales leaders leverage digital platforms to build stronger connections and more opportunities. Learn her favorite techniques and tricks of the trade. \nAbout Becky Brown\nBecky is a trainer and coach for sales teams wanting to leverage digital platforms like LinkedIn and Sales Navigator to build relationships\, uncover opportunities\, and create fuller pipelines. She manages a Social Selling certification program and runs global communications for the team. \nBecky brings a broad set of experiences from 37 years in sales\, marketing and enablement in the technology industry. You can find Becky on LinkedIn and volunteering for the sea turtle patrol in her beloved Emerald Isle\, NC. \n \nRegister for the Event
URL:https://datascienceconsortium.org/event/linkedin-like-a-data-scientist-strategic-networking-for-the-digital-age/
LOCATION:via Zoom
CATEGORIES:Careers in Data Science,Networking,Professional Development,Upskilling
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251001T180000
DTEND;TZID=America/New_York:20251001T190000
DTSTAMP:20260525T071709
CREATED:20250814T173742Z
LAST-MODIFIED:20250925T203047Z
UID:10000095-1759341600-1759345200@datascienceconsortium.org
SUMMARY:2025 NCDS Fall Career Panel: Analyzing Data Science Careers
DESCRIPTION:Join panelists working in a variety of fields\, leveraging their knowledge and experience in data science to forge distinct careers in data science. The journey looks different for everyone\, but a dream job is the destination. We’ll discuss a few examples of what it takes to get there. We’ll also dive into the hard and soft skills that make a top candidate the only candidate for a role in this competitive field. Get ready to dive into the following topics: \n\nDo I need a graduate degree to be competitive?\nWhat are three things I should do as an undergrad to make my resume stand out?\nHELP! I don’t have a degree in data science!\n\nModerator: Sarah Egan Warren\, Teaching Assistant Professor\, Institute for Advanced Analytics and Lead Facilitator\, UNC System’s Faculty Learning Community for AI in Teaching & Learning\, North Carolina State University \nPanelists: \n\nLaura Faircloth\, Arabic NLP Scientist\, MetaMetrics\nEmily Hadley\, Security Researcher\, Microsoft AI Red Team\nBen Heller\, GenAI Transformation Lead\, Google Cloud\nVrushali Sawant\, Data Scientist\, Data Ethics Practice\, SAS\n\nRegister for the Event
URL:https://datascienceconsortium.org/event/fall-career-panel-2025/
LOCATION:via Zoom
CATEGORIES:Career Panel,Careers in Data Science,Networking,Professional Development
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250205T170000
DTEND;TZID=America/New_York:20250205T180000
DTSTAMP:20260525T071709
CREATED:20241127T204330Z
LAST-MODIFIED:20250130T161806Z
UID:10000085-1738774800-1738778400@datascienceconsortium.org
SUMMARY:2025 NCDS Spring Career Panel: Analyzing Data Science Careers
DESCRIPTION:Join panelists working in a variety of fields\, leveraging their knowledge and experience in data science to forge distinct careers in data science. The journey looks different for everyone\, but a dream job is the destination. We’ll discuss a few examples of what it takes to get there. We’ll also dive into the hard and soft skills that make a top candidate the only candidate for a role in this competitive field. Get ready to dive into the following topics: \n\nDo I need a graduate degree to be considered for my dream job?\nWhat are three things I can do to stand out from the competition?\nHELP! I don’t have a degree in data science!\n\nRegister for the Event
URL:https://datascienceconsortium.org/event/2025-ncds-spring-career-panel/
CATEGORIES:Career Panel,Networking
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2025_02_CareerPanel_Small-Flyer-Updated-2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240917T120000
DTEND;TZID=America/New_York:20240917T130000
DTSTAMP:20260525T071709
CREATED:20240607T061012Z
LAST-MODIFIED:20240607T065150Z
UID:10000075-1726574400-1726578000@datascienceconsortium.org
SUMMARY:Scaling Up: Developing a Coordinating Hub for Data Competency
DESCRIPTION:In this session\, Dr. Crista Arangala will introduce Elon University’s Data Nexus. The Data Nexus initiative was created as part of a five-year Quality Enhancement Plan developed during its most recent accreditation process and serves as a coordinating hub for data competency initiatives at the university throughout the plan and beyond. In its first year\, Data Nexus has been focused on assessing foundational technology and statistical competency of all of Elon University’s undergraduate students. Through Data Nexus\, Elon University has also created a process for faculty across the institution to apply for courses to be designated as Data-Intensive and has introduced a new Micro-credential in Advanced Data Competency. Data Nexus also offers a variety of programming across campus including data camps\, workshops\, and data challenges. Data Nexus also offers grants to support faculty\, staff\, and student data-driven initiatives. In year two\, Data Nexus will continue to develop curricular and co-curricular data-intensive experiences for the general Elon University undergraduate student body. \nRegister for the Event \nAbout Dr. Crista Arangala\nDr. Crista Arangala is the Director of Elon University’s Data Nexus and Professor of Mathematics. The Data Nexus initiative was created as part of a five-year Quality Enhancement Plan developed during its most recent accreditation process and serves as a coordinating hub for data competency initiatives at the university throughout the plan and beyond. Dr. Arangala has a PhD in mathematics from the University of Cincinnati and a Masters in Higher Education from Stony Brook University. She has been at Elon University in North Carolina for 24 years\, researching in a variety of fields including inverse problems\, applied partial differential equations\, applied linear algebra\, mathematical modeling\, and service-learning education. Dr. Arangala has a special interest in inquiry\discovery learning and ran a traveling science museum with her Elon University students in Kerala\, India for 9 years. Dr. Arangala was chosen to be a Fulbright Scholar in 2014 as a visiting lecturer at the University of Colombo where she continued her projects in inquiry learning in Linear Algebra and began working with a modeling team focusing on Dengue fever research. Dr. Arangala has published several textbooks that implores inquiry learning techniques including Exploring Linear Algebra: Labs and Projects with Matlab and Mathematical Modeling: Branching Beyond Calculus. Her latest text\, Linear Algebra with Machine Learning and Data\, connects her teaching interests of infusing data into the mathematical curriculum and her research interests in applied linear algebra.
URL:https://datascienceconsortium.org/event/scaling-up-sept-2024/
CATEGORIES:Networking
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2024_09_Scaling-Up_Small-Flyer.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240305T170000
DTEND;TZID=America/New_York:20240305T180000
DTSTAMP:20260525T071709
CREATED:20240215T164647Z
LAST-MODIFIED:20240221T160910Z
UID:10000069-1709658000-1709661600@datascienceconsortium.org
SUMMARY:2024 NCDS Spring Career Panel: Analyzing Data Science Careers
DESCRIPTION:2024 NCDS Spring Career Panel Analyzing Data Science Careers – Are you career ready?\nYou don’t want to miss these data science professionals who provide insight into what it takes to capture the attention of top recruiters in data science and data analytics. Our panelists represent a variety of career stages (a former high school teacher! a Practice Lead and Hollywood script consultant!) and they are ready to discuss what it takes to set yourself apart as you launch your career search. \nJoin us to learn more about: \n\n\n\nWhat programming languages are in demand now\nUnexpected ways to promote your experience\nWhat experiences you should gain early in your career\n\n\n\nModerator: Wing Chan\, Senior Vice President\, Global Risk Management\, Bank of America \nRegister for the Event \nPanelists include:\n\n Paige Spell  |  Data Scientist at Elder Research: Paige obtained a bachelor’s in Applied Mathematics at Appalachian State University along with minors in Biology\, Statistics\, and Computer Science. There\, she discovered a passion for working with data to make a difference. Paige developed many technical skills but realized she was only scratching the surface. She then went on to earn a master’s degree in Analytics at NC State University\, gaining practical experience in model explainability and using machine learning to analyze complex relational claims data. After graduation\, Paige worked as a Data Scientist at Red Hat\, Inc. forecasting company revenue and product consumption while engaging C-level executives\, impacting prompt hiring decisions and influencing business growth. Looking for more diverse problems and a strong technical team\, she decided to join Elder Research Inc almost two years ago.\n Melinda Thielbar  | Vice President of Data Science\, Practice Lead at Fidelity Investments: Thielbar is a researcher and statistical software developer with over twenty years of industry experience. Her career ranges from statistics education to developing algorithms for commercial software to Hollywood script consulting. She co-founded Research Triangle Analysts\, a 501(c)(3) not-for-profit focused on education and training for people working in the analytics field in the Raleigh-Durham area. Thielbar currently works as a Practice Lead in Fidelity Investments’ Workplace Investing.\n Rachini Moosavi  | Chief Analytics Officer at UNC Health: Rachini Moosavi\, MHA\, is the Vice President of Enterprise Analytics at UNC Health. She is passionate about empowering people\, delivering value\, and improving lives. Over her nearly twenty-year career in healthcare\, Rachini has served in analytics\, clinical\, operational\, process improvement\, and leadership roles. As a recent graduate of the Carnegie Mellon University CDataO Certificate program\, Rachini continues to champion and lead data and analytics enablement within her Enterprise Analytics & Data Sciences team and across The Analytics Community at UNC Health\, ensuring that healthcare transformation continues to be catalyzed by insights.\n Adam Cottrell  |  Analytical Consultant at SAS : With more than a decade of experience as a high-performance athletics coach and public educator\, Adam is eager to bring his passion for supporting others and a sharp understanding of team dynamics to the data science world. He is driven to understand all types of systems\, from the human and societal to the physical and philosophical. This curiosity led him to earning a BS in Physics as well as a Masters in Secondary Science Teaching. As a rowing coach\, he instructed athletes of all abilities\, aged 12 to 70+\, and oversaw the development of many nationally competitive collegiate crews. While coaching\, he also worked in the public-school system in several roles across the K-12 spectrum. He hopes to leverage his backgrounds in science\, education\, and coaching to help bring meaningful insight to a world quickly growing in its need for intelligent\, data-driven change.
URL:https://datascienceconsortium.org/event/2024-ncds-spring-career-panel/
LOCATION:via Zoom
CATEGORIES:Career Panel,Networking
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2024_03_CareerPanel_Small-Flyer-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221019T120000
DTEND;TZID=America/New_York:20221019T130000
DTSTAMP:20260525T071709
CREATED:20230217T040925Z
LAST-MODIFIED:20230626T145703Z
UID:10000051-1666180800-1666184400@datascienceconsortium.org
SUMMARY:2022 NCDS Fall Career Panel: Analyzing Data Science Careers
DESCRIPTION:You don’t want to miss these data science professionals provide insight into what it takes to capture the attention of top recruiters in data science and data analytics. Our panelists represent a variety of career stages and they are ready to discuss what it takes to set yourself apart as you launch your career search. Join us to learn more about: \n\nWhat programming languages are in demand now\nUnexpected ways to promote your experience\nWhat experiences you should gain early in your career\n\nRegister for this free\, virtual career panel on Wednesday\, October 19\, 2022 at 12pm-1pm\, featuring Dr. Deborah Stroman (UNC Gillings School of Public Health)\, Justin Choy (Google)\, Gabriel Farkas (IQVIA)\, and Namrata Jumani (Bain and Co). \nView a recording of the event here.
URL:https://datascienceconsortium.org/event/2022-ncds-fall-career-panel/
CATEGORIES:Career Panel,Networking
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_SocialBackground_2022_09_CareerPanel-02.png
END:VEVENT
END:VCALENDAR