Rasmus Kampmann

Hi, I'm Rasmus Kampmann

Data Analyst | BI Developer | AI Automation Specialist

  • SQL
  • Power BI
  • Python
  • AI Workflows

I turn scattered commercial data into systems you trust.

Three years across data, AI, and commercial systems at Veginova Seeds, Sira Logic, and Digi-Tal Regnskab.

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Skills

What I Do

The tools I use most, grouped by what I actually use them for.

SQL

I build the data layer that everything else runs on. Joins, transformations, and pipelines that turn raw data into analysis-ready tables your team can trust.

Power BI

I build dashboards leadership actually uses. Built around the decisions teams need to make, so reporting drives action instead of just showing numbers.

Python

I build the automation, models, and analytical work spreadsheets can't handle. From data pipelines to ML classifiers to deeper analysis at scale.

AI Workflows

I build AI into the pipeline where it changes the work. Lead scoring, qualification, software detection, market intelligence. Models trained on your data, deployed where decisions get made.

Excel

I turn messy spreadsheets into clean, validated data the rest of the stack can rely on. The foundation every downstream system depends on.

Web Scraping

I build custom scrapers that pull external signals into the same warehouse as internal data. Competitor moves, prices, regulatory feeds, job postings, so your team sees the full picture, not just what's already inside.

Explore my work

My Projects

Seven production systems built end-to-end. From scattered commercial data to decisions teams trust. Written for non-technical readers.

Cold-Call Funnel Analysis

Cold-Call Funnel Analysis

102,007 dials, 362 wins. One employee band closed at 37.5%, everyone else at 3.0%. The leak was after the first conversation, not before it. Synthetic data, real method.

Python SQL Power BI
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Channel Performance & Churn Analysis

Channel Performance & Churn Analysis

Ten acquisition channels treated as one mix. Scored on win rate, sales-rep capacity, speed, and twelve-month churn. Synthetic data, real method.

Python SQL Power BI
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Operations & 24-Month Forecasting Coming soon

Operations & 24-Month Forecasting

Sales pipeline, raw-material inventory, and rolling production forecast on a single source of truth

Python PostgreSQL Supabase Power BI
Article coming soon
Invoice & Financial Dashboard Coming soon

Invoice & Financial Dashboard

AR ageing, cash forecast, gross margin per seed, and customer profitability on one stack

Python PostgreSQL Supabase Power BI
Article coming soon
Software Detection ML Model

Software Detection ML Model

A binary classifier that predicts accounting-software adoption from public Danish company-registry data alone. ~75% accuracy, deployed as a +15 score boost on the cold-outbound dialler queue.

Python scikit-learn XGBoost SHAP pandas
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End-to-End AI-Driven Data Pipeline

End-to-End AI-Driven Data Pipeline

Multi-stage pipeline orchestrating scraping, scoring, and personalised AI generation for B2B outbound. Multi-model routing, validator catches AI-pattern output, around 50% cold connection acceptance.

Node.js Python Claude API Apify Clay
Read more →
Agentic External Intelligence Platform

Agentic External Intelligence Platform

Personalised research, competitor monitoring, and weekly briefings replaced manual work for a B2B agriculture company. Live RAG dashboard, multi-LLM interpretation, 218 sources.

FastAPI Python Supabase pgvector Apify
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Learn more

About Me

Hi, I'm Rasmus.

I build the data infrastructure, BI reporting, and AI automation that turn scattered commercial data into systems leadership can trust. SQL pipelines, Power BI, web scraping, and AI workflows wired into one system.

Through my work at Veginova Seeds, Sira Logic, and Digi-Tal Regnskab, I've built BI models, automated data pipelines, and an ML detection model on data from sales, finance, operations, production, ERP, and GTM systems.

Most analysts build dashboards on top of someone else's data. I build the infrastructure underneath, so data and AI talk to each other. Analysis is only as reliable as the infrastructure under it. That's why I build both.

How I work:

  • Build clean, consistent data structures as the foundation
  • Automate ingestion and transformation instead of rebuilding manually
  • Keep pipelines lightweight, not over-engineered
  • Build Power BI models that are easy to maintain and extend
  • Build dashboards around the decisions leadership makes
  • Use AI where it makes the work faster or more accurate

Stack: SQL, Python, Power BI, Excel, data modeling, ETL, web scraping, AI workflows. Hands-on across CRMs, ERPs, dialers, and the full commercial tooling layer. On the AI side: Claude, LLM pipelines, MCP servers, machine learning, and agentic frameworks.

I replace manual spreadsheets and disconnected reporting with systems that run on their own and make the business easier to understand. The outcome teams hire me for: stop rebuilding reports every Monday, stop questioning the numbers, start making commercial decisions from data you trust.

Available for freelance projects and the right full-time role.

Rasmus Kampmann
3+ years of experience

Previous Experience

Roles where I built the data systems, dashboards, and automation behind real commercial decisions.

Feb 2026 – May 2026 · Full-time · Hybrid

GTM Engineer & Data Analyst

Digi-Tal Regnskab

  • Built the LinkedIn outbound infrastructure and analytics layer for a Danish SMB accounting firm.
  • Built end-to-end outbound pipeline: scraping, enrichment, scoring, sequence execution. Cold outreach hit around 50% acceptance rate.
  • Built predictive lead-scoring and accounting-software detection ML models (~75% accuracy across Danish SMBs).
  • Full-channel revenue analysis across Meta, Google, LinkedIn, cold calling, and inbound.

Stack: SQL · Python · Pipedrive · Clay · Playwright · Apify · HeyReach · Claude

Aug 2023 – Feb 2026 · Full-time · Hybrid

Data Analyst & RevOps

Veginova Seeds

  • Owned the BI and reporting stack across sales, operations, and production. Single source of truth for the business.
  • Improved KPI accuracy by 40%+. Standardised metric definitions across teams.
  • Cut reporting time by 10+ hours per week. Stabilised broken reporting workflows and consolidated data sources.
  • Resolved data inconsistencies across inventory, sales, and production systems.

Stack: SQL · Power BI · Python · Excel · Clay · Claude Code

Jun 2024 – Aug 2025 · Self-employed · Remote

Founder · GTM Engineer & RevOps

Sira Logic

  • Service business building AI-driven lead generation, enrichment, and CRM automation for B2B companies.
  • Built lead enrichment and scoring workflows. Qualification accuracy improved by 30–40%.
  • Built CRM automation pipelines integrating HubSpot and GoHighLevel with external data sources.
  • Built custom web scraping systems for industry-specific data sources.

Stack: SQL · Python · Clay · Apify · HubSpot · GoHighLevel · HeyReach

Jan 2025 – Jan 2026 · Freelance · Remote

AI & LLM Data Analyst

Outlier

  • Reviewed and annotated 1,000+ Danish-language AI conversations to improve response quality.
  • Spotted patterns where models failed and fed that back into training data.
  • Built practical understanding of how LLMs work and where they break. The same insight powers the AI scoring and qualification workflows I build today.

Jan 2023 – Aug 2023 · Part-time · Hybrid

Marketing & Digital Graduate

Damstahl Danmark

  • Managed product and marketing data in ERP and CRM platforms across European markets.
  • Built Excel dashboards for campaign reporting.
  • Standardised regional data processes.
Want to work together?

See my freelance services

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Recruiters: see my LinkedIn or grab my CV.