About the Founder
Andrew T. Crooks
Founder of DataNova Consulting LLC
Hi — I'm Andrew, the mind behind DataNova Consulting. I help small businesses and independent professionals cut through the noise using custom-built AI productivity tools and data automation workflows.
With a background in data science and astrophysics, I specialize in making complex systems simple — turning chaotic data, clunky processes, and overwhelming tasks into streamlined, automated tools you can actually use.
I've worked across industries, but the mission stays the same: help real people save time, make smarter decisions, and grow their business without the stress (or subscription fees). Whether you need a smart dashboard, a time-saving workflow, or a custom solution built just for how you work — I'm here to build it with you.
Education
- B.S., Data Science – Western Washington University, 2024
- M.S., Physics (Astrophysics focus) – University of California Riverside, 2013
- B.S., Physics (Astrophysics focus) – University of California San Diego, 2011
Core Skills
- AI Automation & Productivity Tool Design
- Data Visualization & Predictive Modeling
- Python Scripting & Custom Workflows
- Small Business Strategy & Process Optimization
My Approach
As a veteran, I bring discipline, clarity, and an engineer's mindset to everything I build. My focus is on practical, one-time-purchase tools that respect your time, your privacy, and your budget.
No fluff. No subscriptions. Just results.
Technical Background & Projects
A selection of technical work that demonstrates my expertise in automation, data science, and software development.
Custom AI Automation Project
Developed an AI-powered workflow automation system that reduced manual data processing time by 85% for a small business client. Built using Python, API integrations, and custom natural language processing techniques.
WWU Student Pathways Visualization
Led a team in creating a Sankey diagram visualizing student pathways through various colleges at Western Washington University. Built using PowerBI, Python, NumPy, and Pandas.
Instacart Market Basket Analysis
Analyzed Instacart's historical data to visualize item popularity using Python and R. View code
Machine Learning Project
Created a linear regression model to predict baseball strike counts over the next 10 games, based on historical game data. Built using Python, LightGBM, NumPy, and Pandas and optimized with Bayesian optimization.
Astrophysics Research
Developed Python programs to process high-resolution Hubble and Spitzer images, constraining magnitude errors of Lyman-alpha emitting galaxies. Utilized Monte Carlo simulations and classification techniques.