Open for projects — taking 2 new clients this quarter

Data, automation, and AI
that actually ships.

Embedded technical partnership for small and medium-sized teams. Real working solutions shipped fast — not strategy decks. Based in Silkeborg, working across Denmark and the EU.

Stack: Power BI · Looker · Metabase · Python · Zapier · Make · n8n · OpenAI · Anthropic Languages: EN · DA · ES Region: Denmark + EU, remote
What I do

Four ways to turn data into action.

Four pillars, one operating principle: ship the smallest valuable thing fast, then iterate. No over-engineering, no jargon, no consulting deck-ware.

01

Data analysis

Turning raw business data into clear insights. KPI reviews, cohort analysis, and the ad-hoc deep dives you need but don't have time for.

  • Quarterly KPI reviews with recommendations
  • Cohort, retention, and conversion analysis
  • One-off deep dives when leadership asks "why?"
Active users
+18%
Churn rate
−6%
NPS score
+12
02

Dashboards & reporting

Custom dashboards in Power BI, Looker, or Metabase so your team can measure rather than guess. Built around your data — not generic templates.

  • Executive overview + drill-down by team
  • Auto-refreshing data pipelines
  • Documented, handed off, your team owns it
MRR€42,180
New customers17
Avg deal€2,480
Pipeline€98k
03

Process automation

Eliminate the manual, repetitive work that drains your team. Connect tools, integrate systems, and let work move itself.

  • Zapier, Make, n8n — or custom Python when it matters
  • API integrations between systems that don't talk
  • Documented runbooks so nothing breaks silently
CRM Slack Sheets Email
● Run #248 — 2.4s · ok
04

AI solutions

Practical AI workflows: document processing, customer support assistants, content generation, RAG systems, AI-driven analytics. No hype, just things that work.

  • RAG over your internal docs and knowledge base
  • Document extraction (invoices, contracts, forms)
  • AI assistants for customer support and ops
Summarize this contract and flag risk clauses
3 risk clauses flagged: § 4.2 (auto-renewal), § 7.1 (penalty), § 11 (data...)
3
Languages spoken
20+
Tools in active stack
EU
Time zone & data residency
1 week
First visible result
How we work

From "we should look into this" to shipped.

One fixed-price scope per engagement. Weekly demos. You see progress every Friday. No retainer until you want one.

01 · Discovery

30-minute call

Tell me what's broken or unmeasured. I scope the smallest valuable thing we can ship inside a fixed budget.

02 · Build

Weekly demos

I build in the open. You see something working every Friday. Direction is course-corrected fast, not at the end.

03 · Ship

Production-ready

Documented, handed off, your team owns it. Runbooks for anything that needs ongoing care. No lock-in.

04 · Iterate

Optional retainer

If the thing grows, we keep going. If not, the engagement ends clean. No "we should do another phase" pressure.

Behind the work

Solo by design. Embedded by default.

Hi, I'm Julian. I run JC Data & Automation from Silkeborg, Denmark. I work directly with the operations leaders and founders who need data and automation to stop being a "we should do that someday" item.

I've worked in Power BI, Python, and AI tooling daily for years. The pattern I see again and again: companies have the data, they have the tools, but no one inside the team has the time or background to wire it together. I bridge that gap — embedded, fast, no fluff.

Solo means I'm the one you talk to on day one, day 30, and day 90. No account manager, no junior team, no handoffs. The trade-off is capacity — I take a small number of projects each quarter so each one ships well.

2 spots open this quarter

Let's ship something.

Free 30-minute discovery call. No deck, no pitch — just whether your problem is something I can move forward this month.

Book a discovery call