Published Articles
Technical articles, public notes, and longer explanations I have published outside the portfolio.
18 July 2025 . LinkedIn Article . Machine Learning
Why XGBoost Is Still My Go-To Model for Tabular Data
A practical note on why XGBoost remains one of my favorite models for structured business data: gradient boosting, missing-value handling, scalability, regularization, interpretability, and the cases where it is better to use something else.
Read on LinkedIn1 July 2025 . LinkedIn Article . Statistics . Decision Making
Statistics Isn't Just for Data Scientists, It's for Anyone Who Wants to Think Clearly
A public note on statistics as a practical thinking tool: not just formulas for data scientists, but a way to reason better about uncertainty, patterns, evidence, and everyday decisions.
Read on LinkedIn12 June 2025 . LinkedIn Post . Critical Thinking . Better Questions
Ask the Annoying Questions - They're Actually Useful
A short reflection on why the questions that feel inconvenient, obvious, or annoying are often the ones that expose assumptions, sharpen the work, and keep projects honest.
Read on LinkedIn10 June 2025 . LinkedIn Post . Data Science . Learning by Doing
Data Science, Data Analysis, and Learning by Doing
A LinkedIn note on building practical data skills through hands-on work: learning by doing, testing ideas, and turning analysis into something visible.
Read on LinkedIn9 June 2025 . LinkedIn Post . Data Communication . Plain Language
Data Jargon Is Confusing - and That's a Problem
A short note on why data work needs clearer language: the point is not to sound technical, but to make analysis understandable enough that people can actually use it.
Read on LinkedIn8 June 2025 . LinkedIn Post . Projects . Execution
Passion Isn't Enough - Why Smart Projects Need More
A reflection on why strong projects need more than excitement: clear thinking, scope, evidence, iteration, and the discipline to turn an idea into something useful.
Read on LinkedIn23 December 2024 . LinkedIn Post . n8n Automation . AI Engineering
n8n Automation and AI Engineering
A LinkedIn post connected to the Product Conversation Hub work: using automation, AI engineering, and workflow orchestration to turn product data into a usable assistant.
Read on LinkedIn12 December 2024 . LinkedIn Post . Deep Learning . Practice
In Deep Learning, One Key to Success Is Practice
A LinkedIn note on deep learning as a practical discipline: understanding the concepts matters, but progress comes from building, testing, debugging, and iterating on real models.
Read on LinkedIn16 September 2024 . LinkedIn Post . Deep Learning . PyTorch . TensorFlow
Deep Learning, PyTorch, and TensorFlow
A LinkedIn post from the deep-learning learning path that connects to the PyTorch project work: building models, comparing frameworks, and turning experiments into practical understanding.
Read on LinkedIn