Summary
Kennedy Asare is a Data Analytics Engineer and research-minded data scientist with 9 years of hands-on experience building production analytics and ML-backed data products. Currently based in Oulu, Finland, he designs scalable ELT/ELT pipelines and a DRY dbt architecture on GCP/BigQuery, delivering standardized metrics and reverse-ETL flows that enable self-serve analytics across Product, Finance, Marketing and Sales. His background includes a PhD in mobile computing and wellbeing, where he developed passive sensing pipelines and ML models for mental health—experience he’s applied to geospatial and behavioural feature engineering in production. He combines rigorous data quality, CI, observability and cost-optimization practices with applied AI (LLM classification, tooling for developer productivity) to shorten the path from insight to action. Comfortable spanning mobile SDKs to cloud data platforms, he brings a rare mix of academic research depth and startup-grade delivery. An understated strength is his track record of operationalizing niche data sources (maps, device tokens, partner hierarchies) into measurable business KPIs.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Kwame Nkrumah University of Science and Technology, Kumasi
Doctor of Philosophy - PhD, Computer Science and Engineering (Mobile Computing and Wellbeing), Doctor of Philosophy - PhD, Computer Science and Engineering (Mobile Computing and Wellbeing) at University of Oulu
English, twi, Finnish