ODSC EAST 2024
DATA VISUALISATION
& DATA ANALYSIS TRACK
The data visualization track at ODSC East 2024 brings together the world’s most creative minds that are changing the way we visualize, understand, and interact with data. Join a community of designers, data scientists, and developers to learn the art of storytelling, information communication, and data visualization using the latest open source tools and techniques.
We offer multiple talks, workshops, and interactive presentations to help you understand and create beautiful, insightful, and actionable data graphics and visuals.
Some of Our Past Data Visualization & Data Analysis Speakers
Stefanie Molin
Stefanie Molin is a software engineer and data scientist at Bloomberg in New York City, where she tackles tough problems in information security, particularly those revolving around data wrangling/visualization, building tools for gathering data, and knowledge sharing. She is also the author of “Hands-On Data Analysis with Pandas,” which is currently in its second edition. She holds a bachelor’s of science degree in operations research from Columbia University’s Fu Foundation School of Engineering and Applied Science, as well as a master’s degree in computer science, with a specialization in machine learning, from Georgia Tech. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.
Matt Bezdek, PhD
Matt Bezdek is a Senior Data Scientist at Elder Research. In his work, he empowers commercial clients to make better business decisions, with expertise in machine learning, forecast modeling, natural language processing, and visualization. He has a PhD in Cognitive Psychology from Stony Brook University and has conducted neuroimaging research at Georgia Tech and Washington University in St. Louis.
Topic Modeling using pre-trained large language model embeddings(Talk)
Tamilla Triantoro, PhD
Tamilla Triantoro is an Associate Professor of Computer Information Systems at Quinnipiac University and a leader of the Masters Program in Business Analytics. She was previously an Academic Director of Data Analytics at the University of Connecticut. Dr. Triantoro is an author, speaker, researcher, and educator in the fields of artificial intelligence, data analytics, user experience with technology, and the future of work. She received her Ph.D. from the City University of New York where she researched online user behavior. Dr. Triantoro presents her research around the world, attempting to demystify the complexity of today’s digital world and to make it understandable and relevant to business professionals and the general audience.
Melanie Veale, PhD
Melanie Veale, Ph.D. is a recovering Astrophysicist, currently working as a Data Solutions Architect at Anomalo. Her Ph.D. research on galaxy dynamics introduced her to statistical and computational python, as well as other languages and tools like C++, Fortran, IDL, R, bash, SLURM, and others. She has also dabbled in AWS infrastructure, Kubernetes, Docker, Spark, Ray, Dask and more as a Field Engineer and Field Data Scientist at Domino Data Lab, helping analytics and machine learning teams modernize their collaboration and deployment workflows. Nowadays she is a troubleshooting enthusiast anywhere on the Data, Analytics, and MLOps tech stacks, and enjoys melding her passions for crisp technical communication, good visualizations, and first-principles thinking into helping organizations get the most out of their data.
Bonny P McClain
Bonny is a geospatial analyst and self described human geographer and social anthropologist. Exploring geographic properties that capture complex interactions, dynamic shifts in ecosystem balance and how activities influence eco-geomorphic conceptual frameworks across a wide variety of environments are the topics of popular public talks and panel discussions.
The ability to apply advanced data analytics, including data engineering and geo-enrichment, to poverty, race, and gender discussions targets judgments about structural determinants, racial equity, and elements of intersectionality to illuminate the confluence of metrics contributing to poverty.
Bonny is the author of the books Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence (publisher, O’Reilly Media) and Geospatial Analysis with SQL: A hands on guide to performing geospatial analysis by unlocking the syntax of spatial SQL published by Packt Press. Current projects include a new book in progress with Locate Press, Geospatial Data Science & the Art of Storytelling.
Zairah Mustahsan
Zairah is a Data Scientist at you.com, the AI search engine, where she leverages her expertise in statistical and machine-learning techniques to build analytics and experimentation platforms. She recently spoke at NeurIPS 2022 and shared her expertise on data-driven decision-making in a privacy-focused AI-first startup. Previously, Zairah was a Data Scientist at IBM Research, researching Natural Language Processing (NLP) and AI Fairness topics. She has published research and holds patents in these domains. Zairah obtained her M.S. in Computer Science from the University of Pennsylvania, where she researched scikit-learn model performance. Her findings have since been used as guidelines for applying machine learning to supervised classification tasks. Zairah has published her work in top AI conferences such AAAI and has over 300 citations. Aside from work, Zairah enjoys adventure sports and poetry.
From Zero to 100: Lakehouse Architecture for a Privacy Focused Search Engine(Talk)
More talks, hands-on workshop and training sessions
See all sessionsYou Will Meet
The Data Visualization track at ODSC East 2024 is where industry’s top creative minds gather to discuss and shape the most exciting trends and topics in data visualization. Whether you are a data visualization expert, or just starting your journey on better data presentation, this is the conference for you.
Thought leaders working in data science
Data visualization professionals
Graphic artists
Data scientists
UX designers
Business intelligence experts
Graphic designers
Media & publishing data storytellers
Startup founders and executives
Why Attend?
Connect with peers and top industry professionals at our many networking events to discover your next job, service, product or startup.
Immerse yourself in two days of in-depth talks and workshops on data visualisation and data science topics, tools, and languages.
With an incredible lineup, this event provides the training and insight for professionals who understand their organization’s need to deliver compelling data visualization.
Get full access to a suite of recorded presentations on-demand post conference.
Get access to the Open Data Visualization Conference plus 5 other co-located conferences including open data science, big data science, and disruptive data science.
Organizations are now understanding the need to break down big data to make it intuitive, insightful, and actionable. Be among the first to understand the power of data visualization.
Previous Sessions in Data Visualization Track
Workshop: Deciphering the Black Box: Latest Tools and Techniques for Interpretability
Talk: Adversarial Attacks on Deep Neural Networks
Training: Integrating Pandas with Scikit-Learn, an Exciting New Workflow
Workshop: Machine Learning for Digital Identity
Talk: Adding Context and Cognition to Modern NLP Techniques
Training: Good, Fast, Cheap: How to do Data Science with Missing Data
Workshop: Open Data Hub workshop on OpenShift
Talk: Practical AI Solutions Within Healthcare and Biotechnology
Training: Apache Spark for Fast Data Science (and Fast Python Integration!) at Scale
Workshop: Reproducible Data Science Using Orbyter
Talk: Combining Millions of Products into One Marketplace Using Computer Vision and Natural Language Processing
ODSC EAST 2024 - April 23-25th
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Participate at ODSC East 2024
As part of the global data science community we value inclusivity, diversity, and fairness in the pursuit of knowledge and learning. We seek to deliver a conference agenda, speaker program, and attendee participation that moves the global data science community forward with these shared goals. Learn more on our code of conduct, speaker submissions, or speaker committee pages.