- Favorite subject: Statistics
- Fields: 2
- Highest degree: Masters
- Dissertation topic: Item Response Theory
- Go-to energy drink: Nalu
- Articles published: 20
- Most published: Towards Data Science
- Total readers (as of May 2025): +370k
- Average Monthly readers: 5000
- Personal favorite article: Detecting Mumble Rap Using Data Science
- Favorite comment: "This is very clever, just tested the tool, amazing, simple and it works. I'm wondering if this could be developed to extract formulas from measures/calculated columns and could be useful in clicking a button and almost building a functional spec of all the fields, tables, formulas without the manual effort!"
- Specalizations: NLP, IRT and Power BI
- Data: Python, PySpark, R, Azure, Fabric
- Data Viz.: Power BI, Matplotlib, Seaborn, D3.js
- Front-End: Flask, HTML, CSS, Javascript
- Most used language: Python
- Favorite IDE: Vim
- Certificates: Azure Data Engineer Associate (DP-203), Power BI Data Analyst Associate (DA-100), Fabric Analytics Engineer Associate (DP-600), Azure Data Fundamentals (AZ-900), Azure AI Fundamentals (AI-900), Power Platform Fundamentals (PL-900), Professional Scrum Master I
- Project Euler completed: 54
- Rec. league MVP titles: 0
- Stamps in passport: 34
- Fastest 20k: 1h36
- Number of beers it takes to cloud my judgement: 2