Where I express personal thoughts in words
Gabi Steele is the co-founder and co-CEO of Preql, a no-code data transformation tool that empowers business users to model and manage their own metrics. She is also the co-founder of Data Culture, a data engineering and visualization consultancy. Previously Gabi led data visualization engineering at WeWork and worked on data storytelling at the Washington Post.
Alexa Grabell is the co-founder and CEO of Pocus, a Revenue Data platform that is purpose-built for GTM teams to analyze, visualize, and action data about their prospects and customers without needing engineers.
Alexa’s passion for Product-Led Sales started when she led sales strategy & operations at Dataminr, where she built internal solutions to equip sales teams with data. She studied engineering at Vanderbilt University and received her MBA from Stanford University.
Merav Yuravlivker is the Co-founder and Chief Executive Officer of Data Society. With over ten years of experience in instructional design, training, and teaching, she started her career teaching elementary special education in NYC public schools through the Teach for America program. She went on to join the International Baccalaureate Organization, where she developed deep expertise in online training, assessments, and recruitment. She also taught as a Kaplan GRE instructor, where she ranked as one of their top 10% instructors based on student surveys.
Merav found her passion for education and knew that she wanted to make an impact on an even larger scale. She recognized the importance of data literacy and began her data journey by learning how to program and design best practices for students during her free time. Six months later, she left her full-time job to focus on building Data Society along with her co-founders. Over the past seven years, she and her team have developed customized, industry-tailored data science training solutions that educate, equip and empower an organization’s workforce to achieve its goals and expand its impact.
As a data modeling fanatic, data warehouse architect, multi-hypergrowth startup veteran, and team builder, Gordon has built his career on helping people get their business questions. Over time, he's switched his focus from pure technology to complete solutions where people, process, and technology all play a role. At Fitbit, he established the data warehousing team and, as an early customer of Snowflake, used it to fuel petabyte-scale analytics. Later on, at both ezCater and Hubspot, he rebuilt the data warehousing teams to focus on enabling analysts, not loading more data. A constant focus on the customer and their problems has led him to realize that empathy is the most important trait a leader can have.
Brian T. O'Neill is a designer, advisor, and founder of Designing for Analytics, an independent consultancy that helps companies turn analytics into indispensable decision support applications. For over 20 years, he has worked with companies including Dell EMC, Global Strategy Group, TripAdvisor, Fidelity, JP Morgan Chase, E-Trade, and several SaaS startups. He has spoken internationally, giving talks at O'Reilly Strata, Enterprise Data World, the International Institute for Analytics Symposium, Predictive Analytics World, and Boston College.
Brian also hosts the highly-rated podcast, Experiencing Data, where he reveals the strategies and activities that product, data science, and analytics leaders are using to deliver valuable experiences around data. In addition to consulting, Brian is also a professional percussionist and has performed at Carnegie Hall and The Kennedy Center.
Colleen M. Farrelly is a data scientist whose experience spans biotech, healthcare, pharma, marketing, finance, operations, edtech, manufacturing, and disaster logistics. Her research focuses mostly on the intersection of topology/geometry, machine learning, statistics, and quantum computing. She’s passionate about poetry, surfing, Gators football, and socioeconomics.
Tristan Bergh is a systems thinker and data scientist living in Cape Town, South Africa. He studied aeronautical engineering before working as an enterprise software engineer. He worked as an architect on AFIS implementations in Southern Africa, moving into middleware for large fin-tech systems. He restarted his system modeling and machine learning consulting services through 2014, delivering predictive analytics models in healthcare and other domains.
Jim Leach is a data scientist, originally from the North of England, but now based in Atlanta, Georgia. After studying chemistry at university, Jim joined the consulting firm KPMG and began his career as a data analyst. He later returned to university, taking a sabbatical to study for a Master in Business Analytics at Imperial College, London. In his work, he is a passionate R user and developer and enjoys thinking about data visualization and how to communicate effectively using data. In his free time, he enjoys board games, music, cooking, and being outdoors.
Chintan is a data scientist currently working as advanced analytics manager at Avanade. He did his Ph.D. in Underwater Communication where he developed communication systems for commercial applications. He has over 10 years of R&D experience and has worked in academia, oil & gas and consultancy. He is passionate about data science and delivering projects that help companies derive actionable insights.
