Data Engineering & Analytics
Clean models and dashboards leadership actually uses.
From messy spreadsheets to a trusted source of truth. We build data models, pipelines, and dashboards, using tools like dbt, SQL, and Python, so decisions rest on numbers everyone agrees on.
What’s included
Everything you need to get it running and keep it running.
- Data audit and metric definitions
- dbt models and tested pipelines
- Dashboards and recurring reports
Related work
Where we’ve done this before
Nas.com (formerly Nas.io)
AI sales and customer success agents for Nas.com
AI agents inside Lark that work as extra members of Nas.com's sales and success teams, watching deals and accounts in real time and telling the right person what to do next.
Department of Science and Technology
AI roadmap inputs for DOST Region 8
Built a regional AI project inventory and a national dataset of 78 DOST AI projects across 18 regions to inform an AI roadmap.
A technology company
Product funnel models in dbt
Designed a dbt model architecture for product funnel analysis, turning raw event data into tested, trusted funnel metrics.
Let’s talk
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