What we’re about
Welcome to the heart of data science innovation in San Francisco!
Join Celestial Systems in Silicon Valley's epicenter as we explore the cutting-edge of data science, machine learning, and analytics. This community brings together data scientists, ML engineers, analytics professionals, and business leaders who are leveraging data to drive breakthrough insights and business transformation in the world's most competitive tech landscape.
Data science continues to evolve at breakneck speed in the Bay Area, where enterprises are pushing the boundaries of what's possible with advanced analytics, machine learning models, and AI-powered insights. From predictive modeling to deep learning applications, San Francisco remains at the forefront of data science innovation across industries.
Celestial Systems brings over 20 years of digital transformation expertise to San Francisco's vibrant data science ecosystem. As an ISO 27001 certified partner with worldwide offices and a fully in-house engineering team, we're passionate about empowering data professionals to unlock new opportunities and drive measurable business impact through advanced analytics.
What We Offer:
- Hands-on data science workshops featuring real datasets, advanced modeling techniques, and production ML workflows
- Industry expertise from Celestial's data science team and technology partners including Microsoft, Dataiku, Snowflake, and Redis
- Technical deep dives into machine learning operations, feature engineering, model deployment, and scalable analytics platforms
- Business impact sessions connecting data science techniques to real-world business outcomes
- Networking opportunities with data professionals across healthcare, finance, green energy, and cutting-edge tech companies
Our Focus Areas:
- Machine Learning Engineering and MLOps for production-ready models
- Advanced analytics with cloud platforms like Azure ML, Microsoft Fabric, and Snowflake
- Generative AI applications for data science and analytical workflows
- Real-time analytics and streaming data science implementations
- Feature engineering and data preparation at enterprise scale
- Model governance and responsible AI practices in production environments
Who Should Join:
- Data Scientists building predictive models and analytical solutions
- Machine Learning Engineers deploying and maintaining ML systems in production
- Analytics Engineers creating scalable data science infrastructure
- Research Scientists exploring advanced ML techniques and algorithms
- Business Analysts leveraging data science tools for business insights
- Product Managers integrating data science capabilities into products and services
Get Involved:
- Interested in speaking at our events? Contact us about sharing your data science expertise
- Have a data science topic you'd like us to cover? We welcome suggestions for future workshops and sessions
- Looking to volunteer or support our community? We'd love to hear from you
- Interested in hosting or sponsoring an event? Let's discuss partnership opportunities
- Building innovative data science solutions? Connect with us about showcase opportunities
Join us to discover how enterprises leverage advanced data science to minimize risk, enhance decision-making capabilities, and sharpen their competitive edge in today's data-driven landscape. From cutting-edge research discussions to hands-on modeling labs, we welcome both seasoned data scientists and curious newcomers passionate about the future of data science and machine learning.
Upcoming events (1)
See all- Network event5 attendees from 14 groups hosting(ONLINE WEBINAR) Accelerating AI Readiness in Financial ServicesLink visible for attendees
Accelerating AI Readiness in Financial Services: From Data Foundations to Real-World Impact
Join Celestial Systems for a 30-minute live session designed for financial services leaders looking to operationalize AI initiatives with speed, scale, and success. Discover how to build strong data foundations and move from AI planning to production with confidence.
In this session, Jordan Nelson, Senior AI and Software Architect at Celestial Systems, will walk through practical approaches to preparing financial services data systems for scalable AI success. You’ll learn how to modernize your stack, improve data quality, and accelerate transformation with tools like Microsoft Fabric and Dataiku.
We will cover:
- How to plan and execute smooth data migrations that fit your current infrastructure.
- Why modern data warehousing improves data quality, accessibility, and your ability to generate insights.
- How tools like Microsoft Fabric and Dataiku support flexible experimentation, faster data transformation, and clearer reporting.
- Live demos showcasing production-ready pipelines and AI-enabled apps—built on Microsoft Fabric and Dataiku—so you can see the real-world potential of your own data modernization journey.
Why Attend?
Whether you’re just beginning to explore AI or already piloting solutions, this session will equip you with frameworks, tools, and ideas to turn fragmented data into business intelligence—faster and with less friction.Celestial: Empowering Enterprises Since 2001
Based in Vancouver, Canada with worldwide offices and a fully in-house engineering team, we combine a heritage of industry leadership in application engineering with deep expertise in data and AI solutions. At Celestial, we’re passionate about empowering enterprises to leverage the power of AI to unlock new opportunities, minimize risk, and sharpen their competitive edge.
