Charles Shalua
Founder & Co-Engineer · DataLife
My story
I got into data out of frustration. Early in my career I kept watching teams make expensive decisions based on gut feel while sitting on gigabytes of untouched data. I taught myself Python and SQL on weekends, built a few internal dashboards, and never looked back. That was the moment I realised clarity is a competitive advantage — and most organisations are a few good pipelines away from it.
Over the following years I expanded from data analysis into machine learning, shipping production models for clients across retail, finance, healthcare, and logistics. Now I'm finishing the Applied AI program at Centennial College in Ontario, where I'm deepening my work in large language models and agentic systems. Proud of working with people in different industries that broaden my way of problem solving — but what I care about most is whether the work actually gets used.
Today I run a one-person AI and data firm. I work directly with founders, product managers, and analytics leads to build full-stack solutions — from raw ETL pipelines to deployed LLM bots. No account managers. No hand-offs. You talk to the person who writes the code.
Recognition
A track record built project by project, client by client.
Applied AI
Centennial College, Ontario
Top Rated
Cross-industry experience
40+ Projects
Across 15+ Industries
Global Clients
US, UK, Africa, Canada
Principles
Three commitments I make to every client, on every project.
I deliver working code and dashboards, not decks. You can see and use what I build from day one.
Every output comes with plain-English documentation. If you can't explain it to your team, it isn't done.
You own 100% of the code and data from day one. No lock-in, no strings attached — it's yours.
Tools & technologies
Production-grade tools across every layer — from raw data to deployed application.
Data & Analytics
Machine Learning
AI & LLMs
Infrastructure