All of my long-form thoughts on data engineering, Python development, trading strategies, and the journey of learning quant skills — collected in chronological order.
A personal reflection on how I transitioned from manually crunching numbers in Excel to building pipelines with Python and Pandas. I share what clicked, what didn’t, and how I’m learning to think like a data engineer — one script at a time.
I walk through how I built my first algorithmic trading bot using Python. From selecting indicators like EMAs and RSI, to setting up backtesting with pandas and yfinance — this article is for anyone curious about the logic behind the code.
Relational or document-based? In this article, I explore the key differences between SQL and NoSQL through hands-on experiments, and how each plays a role in building efficient, scalable data systems.