About
Uthman Abiola Kareem is a highly analytical Data Scientist with a robust background in Operations Research, Machine Learning, and Optimization. Adept at developing predictive models and mathematical optimization solutions, he excels in transforming complex data into strategic insights. With expertise in deploying scalable machine learning solutions, Uthman is passionate about driving data-driven decision-making to achieve significant operational efficiencies and solve critical real-world challenges.
Work
Arlington, TX, US
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Summary
Led advanced research in water distribution network resilience, developing and applying complex models to enhance decision-making and optimize performance.
Highlights
Designed statistical models to simulate water network earthquake disruptions, optimizing experimental design for critical infrastructure resilience.
Applied Classification and Regression Tree models to accurately identify critical pipe vulnerabilities, enhancing water network resilience.
Engineered a surrogate mathematical optimization model, leveraging Gurobi to achieve a 62% reduction in algorithm run-time for water network maintenance decision-making.
Constructed predictive models in Python and R, providing data-driven insights to analyze and improve water distribution network performance.
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Summary
Managed operations and optimized logistics, leveraging data-driven strategies to significantly reduce costs and enhance customer engagement.
Highlights
Developed and implemented shipment optimization models, achieving a 23% reduction in distribution costs.
Directed A/B testing initiatives to refine customer engagement strategies, boosting quality performance rates by an average of 15% annually.
Utilized deep learning models (PyTorch) for accurate production volume forecasting, resulting in an 18% reduction in inventory waste.
Created real-time data visualization dashboards using Power BI, empowering data-driven decision-making across operations.
Awards
Member, OMEGA RHO International Honor Society
Awarded By
OMEGA RHO International Honor Society for Operations Research & Management Science
Recognized for excellence and academic achievement in Operations Research & Management Science.
Publications
Skills
Programming & Data Engineering
Python, SQL, R, AWS, GAMS, ETL, Data Pipelines.
Machine Learning & Predictive Modeling
XGBoost, Random Forest, Neural Networks, SVM, Logistic Regression, Decision Trees, NLP, TensorFlow, PyTorch.
Optimization & Operations Research
CPLEX, Gurobi, AMPL, Pyomo, Dynamic Programming, Mathematical Modeling.
Data Visualization
Power BI, Tableau, Matplotlib, Seaborn.
Software & Tools
Simio, Witness, Excel Solver, MATLAB, SPSS, SAS.
Soft Skills
Problem Solving, Strategic Planning, Communication, Collaboration.
Cloud & AI Platforms
AWS VPC Creation, Generative AI.
Interests
Professional Affiliations
Senior Member, Institute of Electrical and Electronics Engineer (IEEE), Social Media Manager, INFORMS UTA Chapter.