stevenpeutz.com -

Hi, I'm steven peutz.

I am a data analyst specialized in web data analytics, quant UX research and community integrity analytics. After some years at facebook ('Meta') working on fraud & deception analytics in lovely Dublin, ☘️ I am now taking a break in pursuit of a masters degree in Statistics in Leuven

I specialize in.

Statistics & Pogramming

Master of Science in Statistics
(exp. 2023)
Python, SQL, SPSS

Psychology

Master of Science in Psychology
Specialized in HCI, psychometrics, survey methods & research design

Web Data

Expertise in web/log data analytics, online marketing (SEM, CRO, A/B testing) & market research

Soft skills

Project management
Data visualisation
& Communication

Techstars 🏆 1st Place

Idea validation, market research and UX for an application that trains users in the never-ending tug of war between our self discipline for our long-term goals, and instant gratification from services such as social media, netflix and deliveroo.

Techstars startup hackathon

🏆

1st Place at the 54hrs startup weekend hackathon organized by international accelerator and operational investor TechStars_ in cooperation with UtrechtInc Incubator.

Brightlands 🥈 2nd Place

We developed a new UI that (fed by a machine learning algorithm trained on Chamber of Commerce data), creates a personalized ‘risk factors ranking’, linking this to the relevant but poorly found site content. Resulting in a personalized risk-based UI for entrepreneurs.

Brightlands Data Hackathon

🥈

2nd Place at the Brightlands international Data Hackathon 2018.
A large international, 48hrs, Data Science Hackathon with 170 competitors and € 60.000 in prize money hosted by Brightlands, sponsored by Accenture, Kamer van Koophandel & Politie Nederland.

my blog.

Statistical Tests — When to use Which?

Here is a simple in-browser tool I made that helps you find the appropriate statistical test for your specific research design, variables and datatypes

Reducing quant UX research’ sampling bias through Iterative Proportional Fitting

Iterative proportional fitting can help us correct for sampling bias in our UX surveys. IPF explained and applied.

Scaling UX/CSat survey-based measurement through Factor Analysis & regression

A method for scaling survey-based CSat measurement with high costs and low cadence to a quick data-driven CSat estimation tool

my project.

Get the advantages of psychology’s CBM anti-addiction methodologies adapted for our everyday temptations such as ordering junk food, skipping the gym or spending too much time on social media.

The Betterbias app is now freely available:

Google Play

App Store