About us
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
- Network event
Microsoft Workshop: Bespoke vs. Off-the-Shelf AI
555 California St, 555 California Street, San Francisco, CA, US3 attendees from 2 groups⚠️ Registration required at: https://luma.com/jzrmh0vy?utm_source=mu
Off-the-shelf AI tools promise quick wins—but often fall short on precision, security, and ROI when it matters most.
See how purpose-built, organization-specific AI solutions consistently outperform generic third-party tools—and what it takes to build them on the Microsoft AI stack.
This workshop includes:
→ Walkthroughs of production-grade Agentic AI solutions built for enterprise clients
→ Where off-the-shelf alternatives fell short, and why purpose-built won
→ The Azure AI Foundry stack: designing, deploying, and monitoring AI solutions
→ How Microsoft Fabric creates AI-ready data foundations for real-world scenariosHosted at Microsoft's San Francisco office (555 California Street). Coffee and networking included.
Featured Speakers:
- Devanshi Thakar — Partner Solutions Architect, Microsoft
- Maurice Chang — AI Strategist & Architect, Celestial Systems
- Lakshmi Chandra — Director of Solutions, Celestial Systems
For: Business and technology leaders evaluating AI architecture decisions, CTOs, VPs of Engineering, Data & Analytics leaders, and enterprise decision-makers responsible for AI strategy and ROI.
⚠️ Registration required at: https://luma.com/jzrmh0vy?utm_source=mu
Official registration happens through Luma (link above). Space is extremely limited.
3 attendees from this group
Past events
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