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Omar Tood

Omar Tood

Data Scientist

Mogadishu, Somalia

Omar Tood is a data scientist, lead instructor, and researcher at Goobo Labs. He works across data engineering, machine learning, and AI applications, helping turn data into practical systems and products. His work includes building data pipelines, developing and integrating machine learning models, and supporting production-ready AI solutions. Alongside engineering, he leads technical training programs and contributes to research that advances Goobo Labs' work in artificial intelligence and data science.

Focus areas
Data engineeringMachine learningAI applicationsTechnical training
From the blog

Our Biggest Video Yet: What 12,000 Views in a Week Told Us About Somali Demand for AI Education

One week after we uploaded a 13-hour, fully Somali-language Data Science & Machine Learning course to YouTube, it passed 12,000 views — the biggest video and course we've published on the channel so far. Here's what it was, and what we're doing about what it told us.

Aug 8, 2026 · 6 min

We Gave a Frontier Model Somali Language Standards, and the Result Surprised Us

A demanding mathematics translation experiment revealed how the Somali Language Standard can help frontier models produce Somali that is more accurate, natural, consistent, and explainable.

Aug 7, 2026 · 11 min

Git & GitHub: The Bootcamp That Closes Every Gap the Last Four Left Behind

Our fifth program in this series, and the first not built around data science at all. Git & GitHub closes a gap every earlier cohort surfaced: people who could write working code but weren't yet confident collaborating on it the way professional teams and open source projects do.

Aug 7, 2026 · 6 min

Our Biggest Cohort Yet: Inside the June 2026 Data Science & Machine Learning Bootcamp

In June 2026 we ran our third Data Science & Machine Learning Bootcamp, and it's the biggest curriculum we've built for the program — eight core lessons on the full ML workflow, plus seven bonus sessions covering deep learning, generative AI, ethics, and career paths.

Jul 29, 2026 · 7 min

Python for Everyone: Teaching the Language Our Data Science Bootcamps Assumed You Already Knew

After two Data Science & Machine Learning cohorts, we kept seeing the same bottleneck: people excited about ML who got stuck on plain Python before they ever reached a model. Python for Everyone is the bootcamp we built to close that gap on its own.

Jul 6, 2026 · 6 min

SomNLP-Corpus v2: 887M+ tokens from six open sources

Our largest Somali text release yet: 1.77M clean documents, 591M words, and ~887M tokens from HPLT, CC100, mC4, OPUS, MADLAD, and MT560 — filtered through a six-stage pipeline.

Jun 9, 2026 · 5 min

Cohort Two: What We Changed for the Feb 2026 Data Science & Machine Learning Bootcamp

Five months after our first cohort, we ran a second Data Science & Machine Learning Bootcamp in February 2026. The core format held — one month, the same seven-stage ML workflow — but the curriculum itself changed in specific, deliberate ways.

Mar 26, 2026 · 6 min

Our First Bootcamp: How the Sep 2025 Data Science & Machine Learning Cohort Started It All

In September 2025 we ran our first Data Science & Machine Learning Bootcamp — a one-month, hands-on program built to take a complete beginner through the full ML workflow to a deployed project. Here's what we taught, why we built it, and what it set in motion.

Oct 26, 2025 · 6 min