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Ernest Asena

Lead Data Engineer | AWS & Machine Learning Expert
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About Ernest

Ernest Asena is a Lead Data Engineer at Amazon Web Services with a strong background in data engineering, data science, and machine learning. He specializes in designing scalable data pipelines, developing predictive models, and implementing data governance frameworks that drive innovation. Passionate about leveraging cloud technologies for impact, Ernest has worked across roles in data engineering, analysis, and research. He holds a Bachelor's degree in Applied Statistics with Computing from Karatina University and is pursuing a Master's degree in Data Science at the University of East London.

Background

Lead Data Engineer at Amazon Web Services (AWS)

Designs and maintains large-scale data solutions, builds predictive models, and optimizes cloud-native systems to support global clients.

Data Scientist/Engineer at Credrails

Developed data-driven financial solutions, creating pipelines, visualizations, and predictive systems to improve decision-making in fintech.

Field Researcher at IDinsight

Conducted 3,000+ quantitative and qualitative surveys, ensuring data quality and delivering insights for poverty reduction and healthcare studies.

Track record

Bringing real-world expertise from leading global companies

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Academic background

Master's degree, Data Science

University of East London, Msc. Data Science

What can Ernest teach you?

Ernest teaches students how to design scalable data systems, build predictive ML models, and use AWS tools to solve real-world problems. His courses bridge advanced cloud engineering with practical data science skills.

Cloud Computing Amazon Web Services (AWS) Data Science Amazon Elastic Compute Cloud (EC2) AWS Amazon Simple Storage Service (S3) Redshift