▶ Data science and AI consulting
Is your data working for you?
I turn your data into decisions and products, end to end: from analysis to AI systems running in production.
Where does it break with your data?
- 6–8 weeks → 2–3 days
- Research time per project proposal
- Sıfır Atık Vakfı (Zero Waste Foundation)
- ~140
- people trained in data science and analytics from scratch
- BilgeAdam · Türkçimento, TUSAŞ, TEI
- +60%
- revenue lift, published case study (Twinkels, 2024)
- Causality Engine
Organizations I've worked with
▶ What Klarvo is brought in for
Seven problems.One partner.
The team can't work with data.
Corporate trainings
AI literacy for executives; Python, data analysis, machine learning and deep learning for technical teams.
Company knowledge gets lost in documents.
In-house AI assistants
AI assistants that work with your own documents and data, mathematically optimized for speed and low cost, so you find what you need fast.
Nobody can predict what will sell.
Demand and sales forecasting
Predict what you will sell more accurately, and plan inventory and production around it.
Lost customers are noticed too late.
Customer analytics
Group customers meaningfully, and see who comes back, who is valuable and who is about to leave before they do.
Reports are built by hand and take days.
Reporting and data infrastructure
Automate manual reports, set up one source of truth and clean up scattered data.
Off-the-shelf BI tools can't show what we need.
Custom dashboards
Dashboards written from scratch in code, with no BI tool. No limits on design, interaction or data sources.
Nobody owns data.
Fractional data science lead
No data team yet, or just building one? Part-time senior leadership, including hiring support.
▶ About
Atalay Deveci
MSc in Physics, 7+ years in data science and machine learning, mostly for international clients.
- Chief AI Officer
- Co-founded Causality Engine and built its analytics engine from scratch: attribution, marketing metrics and decision engines.Marketing analytics
- Single-handed
- Built an AI-powered knowledge base for Sıfır Atık Vakfı (Zero Waste Foundation) end to end; project proposal research went from 6–8 weeks to 2–3 days.Enterprise AI
- Trainer
- At BilgeAdam I trained ~140 people from scratch in data science and analytics, from companies including Türkçimento, TUSAŞ and TEI and from individual groups.Corporate training
▶ Results
What I did,what changed.
Numbers come from the clients themselves or from published case studies.
Sıfır Atık Vakfı (Zero Waste Foundation)AI-powered knowledge base that lets the foundation query its past projects, reports and work, together with developments around the world that move its mission forward. Built single-handedly, end to end.
Researching whether a project proposal fits went from 6–8 weeks to 2–3 days.
Research time per project proposal Before6–8 weeksNow2–3 days- "What is Sıfır Atık, can you tell us about yourselves?" questions were handed to the AI assistant; the team no longer spends time on them.
Causality EngineCo-founder · Chief AI OfficerBuilt the analytics engine from scratch: attribution, marketing metrics and decision engines.
Brands using the engine see measurable improvement in their marketing.
Revenue lift in published case studies Source: causalityengine.aiTwinkels · 2024+60%The Two Sisters · 2024+60%Me Gorgeous · 2025+30%Brands served
BilgeAdamInstructorData science, analytics, software development and statistical thinking trainings for companies and individuals: corporate teams including Türkçimento, TUSAŞ and TEI, plus 5 individual groups.
Companies that started with zero prior knowledge began building their own analytics tools after the trainings.
~140participants, starting with zero prior knowledge of software, statistics and data science- Companies started building in-house analytics tools.
- Better dashboards are presented to upper management.
- Less reliance on everyday tools like Excel and PowerPoint.
Companies trained
LocaiAdvisorAdvised on building a scammer detection algorithm aimed at protecting elderly people from phone scams.
I guided the team in shaping its approach to detecting scam calls.
- Advice on framing the problem, the data and modelling approach, and how success would be measured; the team did the build.
▶ Free report · October 2026
AI use doubled. Expertise didn't.
AI use in Turkish companies with 10+ employees went from 7.5% to 14% in a year, while 72.3% of non-users name a lack of expertise as the barrier. Download my free report built on TurkStat and Eurostat data.
▶ How we start
Not with a big commitment,but with a small step.
AI & Data Opportunity Assessment
Recommended first step~2 weeks
I review your data and processes, and deliver a prioritized roadmap of the work that will add the most value.
Fixed-scope pilot
4–6 weeks
For example an in-house LLM assistant: clear scope, clear timeline and a working system at the end.
Training packages
Fixed scope, fixed price
Hands-on trainings tailored to your team's level.
Monthly retainer
Monthly
Fractional data science leadership: ongoing senior support for your roadmap, team and projects.
- 30-day exit
- If it isn't working, you can end the engagement with 30 days' notice.
- Invoiced from Türkiye
- I invoice through my company registered in Türkiye.
- Reply within 24 hours
- I reply to every message within 24 hours.
▶ Questions
Beforeyou ask.
Where should we start?
For most companies the first step is the ~2-week AI & Data Opportunity Assessment. Data and processes are reviewed, and the work that adds the most value is laid out in a prioritized roadmap. If you already know what you need, you can start directly with a fixed-scope pilot.
Our data is scattered. Can we still start?
Yes. In most companies data is spread across ERP, CRM and Excel files. The Opportunity Assessment exists to make exactly that clear: what data is where, what it is good enough for, and what needs to be cleaned up first.
How long does a project take?
The Opportunity Assessment takes ~2 weeks and fixed-scope pilots 4–6 weeks. Trainings are fixed-scope packages; fractional data leadership runs monthly.
How is pricing set?
Training packages, the Opportunity Assessment and pilots are fixed-scope work, with the scope agreed up front. Fractional data leadership is billed monthly. I invoice through my company registered in Türkiye, and you can end the engagement with 30 days' notice.
We don't have a data team. Is that a problem?
No. The fractional data science lead is built for exactly this: setting priorities, running the projects, and supporting hiring if a team is to be built.
▶ Free tools
Take a lookyourself first.
No sign-up, no cost. Everything runs in your browser; your files and answers are never sent to any server.
- FreeData Quality CheckFind missing, duplicate and inconsistent data in your CSV or Excel file in seconds.Open the tool
- FreeManual Reporting CostCalculate how many hours and how much money manual reports cost each year.Open the tool
- FreeSafety Stock CalculatorCalculate safety stock and reorder point from demand and supply variability.Open the tool
- FreeData Maturity TestMeasure your data maturity in 15 questions across five dimensions and find your weakest area.Open the tool
Let's talk about where to start
In a short intro call I listen to what you need and tell you honestly how I can help. I reply to every message within 24 hours.
hi@klarvoanalytics.com