Jen Stirrup is a well-known Business Intelligence and Data Visualization expert, author, data strategist, and community advocate. Jen has featured as a
role model MVP by the Microsoft MVP Program, featured on a dedicated page of the MVP website, and she is also a Microsoft Regional Director.
Jen has been recently named as one of the top ten most influential Business Intelligence female experts in the world by
Solutions Review, and often appears on 'top influencer' lists such as Top 10 Analytics Influencer 2018 and again as a
Top Analytics Influencer 2019 along with other accolades such as
Top 17 Influencers in Big Data and Analytics,
Top ‘Badass’ Women working in Data (rather mysteriously, I might add!)
10 Female Influencers You Should Follow, and
Top 20 women working wonders in AI, Machine Learning, Data Science and Big Data
As a community advocate, Jen has served on the PASS Board for four years, and is now a Microsoft Regional Director. Jen is now focusing on a Diversity Charter to expand the reach and effectiveness of the tech community for a diverse audience.
As the sole owner of a boutique
Data Science and Business Intelligence consultancy, Jen has delivered varied projects which including leading organisations such as the
NHS Trusts and
private companies to the cloud. Jen has spearheaded a
Data Science Program from soup-to-nuts for a Government department in Ireland. She is currently taking a well-known large enterprise of over 20K to the cloud and leading a Data Science program. One of Jen's projects featured on the BBC website as leading an NHS project, taking data to the Azure cloud http://www.bbc.co.uk/news/technology-37285667.
Since 1997, Jen has taught at public and private events worldwide, including conferences in India, Dubai, Singapore, the United States, UK and mainland Europe. Jen has delivered keynotes to thousands of people in one go, such as
ESPC where she presented a keynote to over four thousand people. Jen was honoured with her career highlight in delivering a demo as part of the
PASS 2016 keynote with
Joseph Sirosh, in front of an audience of over six thousand people in person, and even more thousands live online. Jen has also appeared on the BBC current affairs program as a data expert
https://www.youtube.com/watch?v=ce2fHoLdJZI&t=287s reaching an audience of 2 million live, and then another 9 million people through the BBC's iPlayer technology.
Despite this frenetic activity, Jen still finds time, and loses sleep, over doing her MBA at the Robert Kennedy College in Zurich, Switzerland. Jen acts as a trusted advisor for many large, well-known household names as she seeks to make data work for people and companies so that they can obtain business value from their data.
When Jen is not working, she is often to be found walking Archie and Nimbus, her Coton de Tuléar dogs whilst listening to audiobooks in an effort to spend more time reading.
Jennifer Stirrup has submitted 6 sessions for SQLBits 2020, although the agenda hasn't been chosen yet. See all
submitted sessions.
Pending Sessions
What is blockchain? What can it do for my organization? How does it work in Azure? How can I visualize the data in Power BI? Join this session to learn about blockchain using Power BI as a dataviz medium.
Data can be viewed as having a product lifecycle, where it can be collected, analysed, visualized, utilized and then monetized. This session is focused more on the destination of the data, rather than the journey.
In this session, we will examine the complexities involved in ethics, with a focus on bias. We will look at ways in which Microsoft technology can be deployed to tackle bias in AI and Data Science.
What is blockchain? What can it do for my organization? How does it work in Azure? How can I visualize the data in Power BI? Join this session to learn about blockchain using Power BI as a dataviz medium.
Data can be viewed as having a product lifecycle, where it can be collected, analysed, visualized, utilized and then monetized. This session is focused more on the destination of the data, rather than the journey.
In this session, we will examine the complexities involved in ethics, with a focus on bias. We will look at ways in which Microsoft technology can be deployed to tackle bias in AI and Data Science.