Owolabi Temitope Yomi
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Lagos, Nigeria
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Internships
Starting at
USD350/month
Résumé
Jobs
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- IData Scientist - RemoteInnovative Tech HubJan 2024 - Jan 2025 (1 year 1 month)Performed exploratory analysis on large datasets using SQL and Python libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib. • Created dashboards to monitor key performance indicators related to customer acquisition, retention, and engagement. • Identified data anomalies and worked with business units to perform root cause analysis and resolve issues.
NYSC corp member and Data scientistNigerian Meteorological AgencyJan 2024 - Jan 2025 (1 year 1 month)Participated in Data Management and Data Entry for Climate Data all over Nigeria. Facilitated python classes for staffs and co-corp members who were interested and who needed it to further their development in data science using python. collaborated in data filtering, organization and analysis of climate data. Performed climate data quality check and control Created templates for easy data management and analysis- JMachine Learning and Data Science InternJahlics Technology,Jan 2022 - Jan 2023 (1 year 1 month)As a Machine Learning and Data Science Intern, I embarked on an extensive data science journey, building machine learning models from scratch using Python. I successfully handled a project focused on erythemato-squamous disease, culminating in a published paper in an international journal (link to the paper is at the top of this page). My role involved applying various data science techniques, including statistical analysis and utilizing libraries such as Pandas, NumPy, and scikit-learn for model development. Additionally, I leveraged SQL to query data effectively, enhancing my ability to manage and manipulate datasets. I also utilized Kaggle to extract relevant data during my tenure at Jahlics Technology, which further enriched my practica
Education
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- FBsc in Computer ScienceFederal UniversityJan 2018 - Jan 2023 (5 years 1 month)
Publications
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- JDevelopment of a Model to Classify Skin Diseases using Stacking Ensemble Machine Learning TechniquesJournal of Computing Theories and ApplicationsMay 2024 - Current (2 years 1 month)Skin diseases are highly prevalent and transmissible. It has been one of the major health problems that most people face. The diseases are dangerous to the skin and tend to spread over time. A patient can be cured of these skin diseases if they are detected on time and treated early. However, it is difficult to identify these diseases and provide the right medications. This study's research objectives involve developing an ensemble machine learning based model for classifying Erythemato-Squamous Diseases (ESD). The ensemble techniques combine five different classifiers, Naïve Bayes, Support Vector Classifier, Decision Tree, Random Forest, and Gradient Boosting, by merging their predictions and utilizing them as input features for a meta-cla