Hello, I’m Jacob Ferraiolo, a Senior Data Engineer based in Dallas, TX, with a background spanning data engineering, data science, and machine learning. I specialize in building scalable data pipelines, optimizing data infrastructure, and applying predictive modeling to solve business problems.

I created this blog as a space to document my projects, explore new ideas, and refine my thinking. Whether it’s algorithmic trading, AI-driven recommendations, or building efficient ETL pipelines, I enjoy working on technical challenges that intersect with business impact.


My Journey

My career began as a pricing analyst at an auto insurance company, where I was first introduced to SQL, data modeling, and the power of data-driven decision-making. That experience sparked my interest in data science and machine learning, leading me to roles where I built recommendation systems, predictive models, and real-time data pipelines.


Topics I Write About

Prediction Markets & Algorithmic Trading – Exploring ways to beat the market with data-driven strategies.

Data Engineering & ML Pipelines – Designing scalable workflows using Snowflake, Airflow, and Python.

AI & Automation – Experimenting with generative AI, recommendation systems, and data-driven apps.

Business & Economics – Understanding how data can drive business value and strategy.


Beyond Work

Outside of data, I’m interested in quantitative finance, prediction markets, economics, AI, and geopolitics. I also enjoy playing chess, reading science fiction, and exploring new technologies.

This blog is a collection of my experiments, insights, and projects. If you’re into data, markets, or AI-driven automation, you’ll find plenty to explore here.


Find Me Elsewhere

This site is built using GitHub Pages and Jekyll. You can check out the source code here.

Influences