Albert Opoku
Model Risk Management Senior Analyst at Northwest Bank
Columbus, Ohio, United States
Summary
👤
Senior🎓
Top SchoolAlbert 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.
10 years of coding experience
6 years of employment as a software developer
Master of Financial Economics (MFE), Finance, Accounting and Economics, Master of Financial Economics (MFE), Finance, Accounting and Economics at Ohio UniversityBA Economics, Economics, BA Economics, Economics at Kwame Nkrumah' University of Science and Technology, Kumasi
twi, English
Github Skills (84)
python10
nearest-neighbors10
deep-learning10
clustering10
openai-api10
machine-learning10
similarity10
chatgpt9
neural-network9
api9
similarity-search9
openai9
cosine-similarity9
data-science9
tensorflow9
Programming languages (5)
Github contributions (5)
opokualbert/opokualbert.github.io
Aug 2018 - Jan 2020
Machine Learning and Data Science Blog
Contributions:404 pushes, 1 branch in 1 year 4 months
pythonsciencemachine-learningdata-science
opokualbert/Topic-Modeling-with-Non-Negative-Matrix-Factorization-NMF-
Mar 2019 - Apr 2019
Contributions:29 commits, 28 pushes, 1 branch in 26 days
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