Ronak Kaup
I break complex data down to its simplest form, then automate it and teach it with AI.
I’m Ronak, a data scientist, paid media specialist and AI enthusiast. My nine years span data analysis, business intelligence and AI automation, and I’m just as invested in teaching AI as I am in using it.
Selected work
Each project opens as a short case study: the brief, what I did, and what changed.
The finding that changed an account
On the MRI Plus account, page views had been promoted to primary conversions, so Smart Bidding spent eight months optimising towards browsing instead of bookings. Spotting that, and fixing the measurement behind it, is the pattern in most of my work.
Read the auditDashboards and reports
A selection of the reporting I’ve built. Click any screen to enlarge it; the full set sits inside each case study.
How I work
Measure first
Before optimising anything I check that what’s being counted is what matters.
Separate signal from noise
A 3.1x account ROAS hid 23x keywords and zero-return spend. The value is in the segmentation, not the average.
Automate the repeatable
Anything I do more than twice becomes a workflow in n8n, Make, Deluge or the Claude API.
Teach what I learn
I’m heavily invested in learning and teaching AI. The Data Barista explains data science and AI to non-technical audiences.
Translate for the room
The same finding gets three versions: for the developer, the marketing lead and the finance director.
Toolkit
- Paid media
- Google Ads, Microsoft Ads, Meta, TikTok, programmatic
- Measurement
- GA4, GTM, GCLID pipelines, Enhanced Conversions
- Data
- Tableau, Looker Studio, Power BI, BigQuery, SQL, Python
- Automation
- n8n, Make, Zoho Deluge, Claude API, Supabase, Railway
Working together
Open to analytics, paid media and measurement roles, and to freelance projects.