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.

Built marketing analytics platform serving 100+ active users
Delivered ML models generating 5–8% sales lift
Worked directly with executives to turn data into operational decisions

Discuss Your Project

What I Actually Do

I help companies turn data into everyday decision-making systems as their analytics capability evolves

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:

Assess fragmented data environments and clarify what actually matters
Design data pipelines that support decision-making, not static reporting
Build self-service analytics platforms used daily by business teams
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:

Build customer segmentation models used by marketing teams
Develop churn prediction and lifecycle models feeding operational actions
Implement send-time and next-best-action optimization
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:

Translate business goals into actionable analytics priorities
Mentor analysts and data scientists in delivery and decision-making
Work directly with executives on data-driven decisions
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

Global enterprises

100+

Active users on platforms I've built

T-Mobile Philip Morris Swarovski Startup Co-founder

Core Differentiators

C-Suite Communication: Proven ability to translate technical complexity into executive insights

Cross-Industry Expertise: Telecom, luxury retail, FMCG, and technology sector experience

From Concept to Adoption: Experience taking initiatives from idea → prototype → deployment

Experience Timeline

Data Analyst at T-Mobile, Warsaw

Built first churn prediction models.
Designed subscription lifecycle reporting.
Learned to translate technical complexity into business action.

Featured Solutions

Production-grade analytics systems designed for real decision workflows

View Portfolio

How I Work

I partner with organizations in two ways

Long-term roles

Full-time roles focused on building and scaling analytics capability

Independent engagements

Short-term, focused work to build analytics foundations and drive execution