Albert Opoku

Model Risk Management Senior Analyst at Northwest Bank

Columbus, Ohio, United States
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Summary

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Senior
🎓
Top School
Albert Opoku is a Model Risk Management Senior Analyst with a decade of experience bridging quantitative AI/ML engineering and regulatory model validation in financial services. He has hands-on expertise validating ML and deep learning models (TensorFlow/Keras, PyTorch, Scikit-Learn) against MRM standards and OCC SR 11-7, and has built challenger models, playbooks, and trainings to elevate production readiness. His background includes building domain-specific NLP embeddings and semantic vector search using GPT-3.5, OCR pipelines for searchable document corpora, and pragmatic model monitoring and explainability tools. At U.S. Bank he led the AI/ML center of excellence for validation, and now applies that governance lens to model risk at Northwest Bank. He combines rigorous regulatory knowledge with practical ML engineering and a habit of publishing tutorials and playbooks to help teams operationalize research.
code11 years of coding experience
job6 years of employment as a software developer
bookMaster of Financial Economics (MFE), Finance, Accounting and Economics, Master of Financial Economics (MFE), Finance, Accounting and Economics at Ohio University
bookBA Economics, Economics, BA Economics, Economics at Kwame Nkrumah' University of Science and Technology, Kumasi
languagestwi, English
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Github Skills (63)

openai-api9
similarity-search9
python9
machine-learning9
tensorflow9
neural-network9
deep-learning9
clustering9
parser8
transfer-learning8
deep-neural-networks8
ml8
openai8
tensorflow-model8
chatgpt8

Programming languages (4)

C++HTMLJupyter NotebookPython

Github contributions (5)

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Machine Learning and Data Science Blog
Contributions:404 pushes, 1 branch in 1 year 4 months
pythonsciencemachine-learningdata-science
Contributions:29 commits, 28 pushes, 1 branch in 26 days
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