I Build Analytics Capabilities That Actually Get Used
Analytics • BI • Data Science • 12+ years across retail, FMCG, telecom & tech
12+ years turning data chaos into working systems. From zero to production. From spreadsheets to self-service platforms. From "we should use AI" to models that ship.
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Built marketing analytics platform serving 100+ active users
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Delivered ML models generating 5–8% sales lift
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Worked directly with executives to turn data into operational decisions
What I Actually Do
I help companies turn data into everyday decision-making systems as their analytics capability evolves
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Self-Service BI & Analytics
FOR: COMPANIES DROWNING IN DATA WITH NO REAL ANALYTICS CAPABILITY
I build analytics that teams use to make day-to-day decisions:
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Assess fragmented data environments and clarify what actually matters
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Design data pipelines that support decision-making, not static reporting
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Build self-service analytics platforms used daily by business teams
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Establish adoption practices so analytics becomes part of normal workflows
Applied Data Science
FOR COMPANIES EMBEDDING MACHINE LEARNING INTO EVERYDAY WORKFLOWS
I use machine learning to inform operational decisions and workflows:
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Build customer segmentation models used by marketing teams
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Develop churn prediction and lifecycle models feeding operational actions
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Implement send-time and next-best-action optimization
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Take models end-to-end: development → deployment → monitoring → impact measurement
Analytics Ownership & Execution
FOR: ORGANIZATIONS WHERE ANALYTICS NEEDS DIRECTION TO DRIVE MEASURABLE BUSINESS OUTCOMES
Hands-on ownership where analytics needs clarity and follow-through:
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Translate business goals into actionable analytics priorities
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Mentor analysts and data scientists in delivery and decision-making
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Work directly with executives on data-driven decisions
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Introduce ways of working for analytics delivery, from business question to deployed output
Why Companies Choose Me
I Stop You From Building the Wrong Thing
Most analytics projects fail because companies build what they think they need, not what actually drives decisions. I start with the business problem, not the technology.
I Bridge the Business-Technical Gap
I translate business needs into technical solutions teams actually trust and use.
I Ship, Not Just Advise
I build the actual thing. I write the code. I deploy the models. I train your team.
I Focus on Adoption, Not Just Delivery
The smartest model is worthless if nobody uses it. I design for adoption. Intuitive over impressive. Working over perfect.
I Measure Success by Business Impact
Projects succeed when they change decisions, not when they look impressive. I track real business outcomes.
Track Record
With 12+ years in data science, BI, and analytics, I’ve helped organizations in telecom, luxury retail, FMCG turn data into measurable outcomes. From building enterprise data science capabilities at Philip Morris to designing executive-ready reporting at Swarovski and co-founding a tech startup, I bring both corporate and entrepreneurial perspectives to solving business challenges.
12+
Years of experience
5-8%
Sales increase from ML models in production
3
Global enterprises
100+
Active users on platforms I've built
T-Mobile
Philip Morris
Swarovski
startup Co-founder
Core Differentiators
01
C-Suite Communication: Proven ability to translate technical complexity into executive insights
02
Cross-Industry Expertise: Telecom, luxury retail, FMCG, and technology sector experience
03
From Concept to Adoption: Experience taking initiatives from idea → prototype → deployment
Data Analyst at T-Mobile, Warsaw
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Built first churn prediction models.
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Designed subscription lifecycle reporting.
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Learned to translate technical complexity into business action.
