I turn messy data into
decisions teams can trust.

I'm a data analyst with a Master of Professional Studies in Analytics (Co-op) from Northeastern University, a B.Sc. in Computer Science, and 6+ years working with data in healthcare and public-health settings.

My focus is the work that makes analytics trustworthy: validating data, building quality-assurance processes, and turning large, complex datasets into clean reports and dashboards people actually use. I work hands-on in SQL, Python and R, build dashboards in Power BI and Tableau, and care as much about clear communication as about the analysis itself.

My background spans national HIV/AIDS program reporting, EMR data quality and telecom KPI analytics in Nigeria, plus graduate training in machine learning and predictive analytics in Toronto. Alongside that, I design, build and run my own software as the founder of AFOLAOLA — a privacy-first product studio with seven live products — and handle the business side too: brand and positioning, launches, search visibility, pricing and billing setup. One of those products, OlaWell, is where my two careers meet: a personal health organizer that applies what years in health informatics taught me about handling health data with care. It keeps me close to what makes data useful: start from the decision someone needs to make, then make the data behind it trustworthy.