Data that shapes decisions. AI that delivers results.
I help mid-sized businesses unlock the strategic potential of their data and deploy artificial intelligence purposefully – pragmatic, measurable and sustainable.
Specialised across the full lifecycle of data projects – from strategy through implementation to operations.
Data Strategy & Analytics
I bring structure to your data landscape and create the foundation for informed decisions – from data architecture to executive dashboards.
KPI frameworks & metrics design
BI dashboards & visualisation
Data architecture & modelling
Reporting automation
AI & Machine Learning
From classical ML models to large language models – I design, develop and integrate AI solutions that deliver real value.
Predictive & prescriptive analytics
LLM integration & RAG systems
Model training & evaluation
AI strategy & use-case assessment
Data Engineering
Robust, scalable data pipelines and modern infrastructure as the foundation for all downstream analytics and AI applications.
ETL/ELT pipelines & orchestration
Data warehouse & data lakehouse
Data quality & monitoring
Cloud infrastructure
Process Automation
Systematically automate recurring tasks – so your team can focus on what matters instead of manual work.
Workflow automation & RPA
API integrations & interfaces
Document processing with AI
Efficiency analysis & process optimisation
Project types
Typical projects
Real-world examples – anonymised and simplified, but representative of genuine challenges.
01Sales & Operations
Predictive Analytics for Sales Management
ML-based forecasting models for revenue, churn and cross-sell potential. The result: a sales team working with measurable priorities instead of gut feeling.
Python scikit-learn Power BI
02Customer Communication
LLM-powered Automation of Customer Processes
Integration of large language models into support and sales workflows. From request classification to automated response generation – contextually accurate and on-brand.
OpenAI API LangChain Python REST
03Reporting & Finance
Automated Reporting Infrastructure
Replacing manual Excel processes with a modern data pipeline delivering automated daily reports for the CFO and leadership team. Time savings: several hours per week.
dbt Snowflake Airflow Tableau
04Governance & Strategy
Data Governance Implementation for Mid-sized Businesses
Building data quality standards, ownership structures and a company-wide data catalogue. The foundation for sustainably scalable data projects.
DataHub Great Expectations Confluence
Why work with me
The difference that counts
01
Senior expertise without agency overhead
You work directly with me – no account managers, no junior consultants, no communication loops. Full experience, short paths, fast results.
02
Pragmatic, not perfectionist
No consultant writing months of concept papers. I focus on early results, continuous iteration and a "ship it, learn from it" mindset.
03
Technology-neutral and vendor-independent
I recommend what fits your business – not what earns commissions. Open source, cloud-native or hybrid: technology-open and honest.
04
Full transparency on costs and approach
Clear proposals, fixed day rates or fixed-price packages – no hidden costs, no scope creep. You know at every point what you are paying for.
Process
How we work together
Clearly structured, easy to follow and with no surprises.
01
approx. 30–60 min.
Discovery & Analysis
An initial conversation where I understand your current situation, goals and specific challenges. Not a sales pitch – an honest assessment.
02
approx. 3–5 days
Concept & Proposal
Based on our conversation I develop a clear project outline with scope, approach and deliverables – including a transparent cost breakdown.
03
project-dependent
Implementation & Iteration
Agile approach in short cycles. Regular updates, early partial results and close collaboration – so you always know where we stand.
04
after project end
Handover & Further Development
Full documentation, handover to your team and optional ongoing support. The result is yours – and your team can continue working independently.
My focus is on mid-sized businesses that want to tackle their data projects seriously – without the cost of a large consultancy. I also work with growth-stage startups and occasionally with corporate divisions that need independent expertise.
How long does a typical project take?
That depends heavily on scope. An analytics strategy or dashboard project often runs 4–8 weeks. More complex data engineering or ML projects typically take 3–6 months. For strategic questions or assessments there are also compact formats from one week.
Do you work remotely?
Yes, fully. I work 100% remotely and have established processes for distributed collaboration. For kick-off meetings or workshops I can also be on-site if needed – by arrangement and within the project budget.
What technologies do you use?
I am technology-neutral and align with your requirements and the stack that fits your business. I typically work with Python, SQL, dbt, Airflow/Prefect, Snowflake/BigQuery/Databricks, Power BI/Metabase, OpenAI API/LangChain and cloud platforms (AWS, Azure, GCP).
What does working together cost?
I work with day or hourly rates for ongoing support and fixed prices for clearly defined project scopes. After our introductory call you will receive a transparent proposal without hidden costs. Contact me directly – I find a suitable solution for every scale.
How does collaboration work in practice?
We start with a free 30-minute introductory call. You then receive a concrete proposal within a few days. Implementation takes place in short iteration cycles with regular check-ins. All results are fully documented and handed over to your team.