Summary
Mustapha Alaba is a backend engineer and data analyst with nine years of experience building scalable web platforms, automation systems, and data-driven research tools across government, academia, and startups. Currently a Research Assistant on a mobile money for macroeconomic indicators project, he cleans and integrates large-scale transaction and survey data to produce policy-relevant consumption and income metrics while liaising with central banks and statistical agencies. He designed a WhatsApp AI booking assistant and integrated dispatch, messaging, and payment APIs to process 24,000+ bookings and over a million notifications, demonstrating a focus on cost-efficient, production-grade automation. Skilled in Python, SQL, machine learning, and full-stack web development (PHP/Laravel, JavaScript), he pairs hands-on engineering with training and mentoring—having led community tech programs that moved dozens into freelancing and employment. Mustapha’s background blends applied machine learning from Carnegie Mellon Africa with practical product delivery, making him adept at turning messy operational data into usable analytics and impactful software.
9 years of coding experience
11 years of employment as a software developer
ALX-T Data Analyst Nanodegree Program Data Analyst, ALX-T Data Analyst Nanodegree Program Data Analyst at Udacity
Master of Science in Information Technology (MSIT) Applied Machine Learning, Master of Science in Information Technology (MSIT) Applied Machine Learning at Carnegie Mellon University Africa
Bachelor of Science Computer Science, Bachelor of Science Computer Science at University of Ilorin, Nigeria