10x ROI is
not a goal.
It's bare minimum.
I build data systems that pay for themselves — and your team learns to run them.
Deployed, not dormant.
THE FLYWHEEL
I create systems that amplify each other.
Each a standalone package, with measurable ROI.
The modules
Hover or tap a node above for the full metrics.
Why flywheels?
Seeing every function as an isolated value driver is an antiquated business practice. Modern solutions require interaction, dynamic growth, and automated decision processes:
- →A pricing model feeds assortment decisions.
- →Attribution improves win backs.
- →Workforce forecasts align with demand signals.
Want tailored ROI estimates? See the Impact Analysis for your specific role.
REAL NUMBERS
REAL LAUNCHREAL LAUNCHREAL LAUNCH
Every metric is real.
Every result is deployed.
REAL WORK
REAL IMPACT
Every engagement solves a specific problem and produces measurable outcomes.
FMCG: Price Optimization Engine
Turned fragmented pricing strategies into a unified, elasticity-based engine.
Retail: Pricing & Store Potential Optimization
Unlocked hidden margins via location-aware, elasticity-based pricing.
Fashion Retail: Advanced Workforce Management
Aligned workforce scheduling with demand, cutting costs and compliance violations.
← Swipe to explore →
WHY AI & DATA
EFFORTS BREAK
It costs you 2.9% of yearly revenue in lost potential — but it's never the tool. It's one of four recurring patterns in team and process.
Technical Overemphasis
Complexity over value, siloed solutions, tool fixation. Teams optimize the wrong thing before clarity exists.
→ 1.58% revenue evaporates in technical debtExecution Paralysis
Stalled initiatives, fragmented efforts, delayed value. Analysis arrives weeks after the decision moment.
→ 0.43% revenue stalled in execution limboProcess Barriers
Lack of trust, unclear ownership, no automation. Data teams firefight instead of moving the business forward.
→ 0.70% revenue untapped because of politicsStrategic Disconnect
Competing priorities, no portfolio view, unclear ROI. Five teams build five solutions that don't talk to each other.
→ 0.19% revenue lost due tofragmentationCAN'T AN AI
JUST DO THIS CHEAPER?
Fair question. If you think about pricing and customer channels:
Plausible. Confident. Quick.
- ✕Which segments actually tolerate an increase?
- ✕Elasticity differs strongly across categories and regions.
- ✕Regional differences are only possible on a higher aggregation level.
Challenge. Hypotheses. Exploration.
Context no dataset contains. Judgment that comes from curiosity and observation, not just "best practices".
Segmented price moves, verified against volume before a single price tag moved.
The machine is fast at
- →Drafting ideas in hours, not weeks
- →Scanning millions of rows for patterns
- →Generating 20 hypotheses before lunch
- →Running 24/7 and documenting everything
The human is accountable for
- ✓Asking the right question, connecting the puzzle
- ✓Maintaining performance under changing conditions
- ✓Challenging plausible-but-wrong answers
- ✓Owning the decision — and the change after it
I set the direction. AI gives us speed.
Speed in the wrong direction looks like comfort — you only realize the cost later. And an AI let loose doesn't fix the four patterns above.
WHAT PEOPLE SAY
Aleks has this rare gift of solving problems right before we even realize they exist. Everytime I have a conversation with him, I walk away feeling confident that this is a problem that has a measurable solution. Every interaction with him feels almost overprepared. When I was talking about waste in data teams he already had a structured framework on how to determine and estimate it. When we were discussing solutions for our pricing and campaigns, he always had a demo to show. I rarely have this feeling from 5-10 people teams and he does it alone because he is passionate about his solutions.
I know and have worked with Aleks for 5 years now. At first I was happy to have him as a data scientist who excels at communication, managing, and change management. But he developed into a catalyst, mastering data engineering, BI development, and product design. From HR, Workforce Management, to marketing analytics, he has delivered impact across the board. Leading to his name traveling up to the board level and our cheat code for hard problems that have been stuck.
Aleksej is a brilliant problem solver - both as an entrepreneur and as a data scientist. His clearly outcome-focused way of working impressed me deeply, across a variety of projects we worked on together. Being able to combine raw analytical and programming talent with a strategy consulting mindset, his leadership made even the tightest deadlines work: juggling group work, his own company, and innovative side projects. What I value most about him is that he never accepts the status quo, and his standard mode is to over-deliver - while always staying true to himself.
Over the years I met a lot of talented and smart people but among them, only a few are absolutely extraordinary. People that amaze you with their knowledge, manners and personality the more you are getting to know them. Aleksej is definitely one of such people. We worked together with him on several projects, and every time the level of ambitions was rising. At some point, I started to believe that "overachieving" and "Aleksej" are synonyms. Yet he is not pushing you more and more causing an irreversible burnout but motivates you to conquer new heights. I believe that he has a bright future ahead and enormously jealous of a team that manages to get him on board.
← Swipe for more voices →
