Resume
Work
Experience
2024 - Present
Data Scientist At Choice Support
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Developed a Machine Learning model using elderly users vitals to predict and prevent falls, reducing fall incidents by over 90% and enhancing safety at Choice Support.
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Applied feature engineering techniques to enhance input variables, increasing model accuracy by 25% in predicting fall risks.
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Implemented cross-validation and hyperparameter tuning to optimize model performance and minimize the risk of overfitting, increasing model performance by 97%.
2021 - 2023
Data Scientist At Benin Electric
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Developed predictive maintenance models with engineering teams, reducing transformer overloading by 20% and extending asset lifespan by 15% through early issue detection.
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Implemented Machine Learning models to forecast billed amounts, boosting load prediction accuracy by 30% and cutting operational costs by 25%.
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Used SQL, Hadoop and Cassandra to process 1TB+ of daily substation data, enabling data-driven decisions and improving system efficiency by 20%.
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Education
2023 - 2024
University of Greenwich | Master’s Data Science
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2015 - 2020
Federal University of Petroleum Resources | Bachelor's Degree Physics
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Skills
& Expertise
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Languages: Python, R
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Analytics Tools: Numpy, Pandas, matplotlib.pyplot, seaborn.
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Machine Learning Tool: Scikit-Learn, Spacy, Pipeline, Logistic Regression, Convolutional Neural Network, Clustering, SGDClassifier, Pipeline.
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Databases: Redis, Hbase, MongoDB, DynamoDB, AWS, SQL, MapReduce, Cassandra.