Titanic Survival Prediction
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Summary
Developed a machine learning model to predict passenger survival on the Titanic, applying data preprocessing, feature engineering, and classification algorithms.
Highly motivated and results-driven professional with a strong foundation in data science, evidenced by intensive training and hands-on project experience in predictive modeling and fraud detection. Leverages a background in scientific research and data annotation to analyze complex datasets, extract actionable insights, and develop robust machine learning solutions. Eager to contribute analytical skills and a passion for data-driven problem-solving to an innovative data science team.
Data Annotator
Remote, Nigeria
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Summary
Conducted precise data annotation and labeling for machine learning models, ensuring high data integrity and usability for AI applications.
Highlights
Performed data annotation and labeling for machine learning and AI applications, contributing to the development of robust models.
Collaborated with data scientists and engineers to refine labeling guidelines, achieving alignment with project-specific requirements and enhancing data quality.
Executed quality checks and validation processes on annotated data, identifying and correcting inconsistencies to maintain high data integrity and usability.
Participated in regular training sessions to stay updated on annotation techniques and project requirements, contributing to continuous improvement efforts.
Biology Teacher
Abuja, Nigeria
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Summary
Taught biology to senior secondary students, simplifying complex topics and engaging them through interactive lessons and practical sessions.
Highlights
Taught biology to senior secondary students, preparing them for local and international examinations and achieving strong academic outcomes.
Simplified complex scientific topics, increasing student engagement and comprehension through interactive lessons and practical laboratory sessions.
Mentored students for science competitions and coordinated JETS Club activities, fostering analytical thinking and problem-solving skills.
Tutor
Uyo, Nigeria
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Summary
Conducted science tutorials for secondary school students, enhancing understanding and boosting academic performance through personalized instruction.
Highlights
Conducted tutorials in science subjects for secondary school students, simplifying challenging topics to improve understanding and performance.
Helped students achieve excellent examination results through personalized tutoring strategies and targeted support.
Volunteer Campaign Team-Lead
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Summary
Led a community campaign on water sanitation and prevention of waterborne diseases, coordinating needs assessments and stakeholder engagement.
Highlights
Led a team to conduct needs and assets assessments, gathering crucial data for community organizing initiatives.
Collaborated with community stakeholders to develop and deliver health education on water sanitation and prevention of waterborne diseases.
Secured installation of borehole water by collaborating with community members to write letters to stakeholders, addressing a critical community need.
Volunteer Campaign Facilitator
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Summary
Facilitated a social marketing campaign on drug and substance abuse prevention among secondary school students, developing and delivering educational materials.
Highlights
Collaborated on developing promotional and educational materials, including picture cards and flyers, for a social marketing campaign.
Delivered health education sessions on drug and substance abuse prevention to secondary school students, impacting knowledge and awareness.
Conducted pre-tests on campaign materials to ensure effectiveness and relevance for the target audience.
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Master of Public Health (MPH)
Public Health
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BSc
Physiology
Python.
Data Analysis, Data Visualization, Power BI, Microsoft Excel, Pandas, NumPy, Matplotlib, Seaborn.
Predictive Modeling, Classification, Regression, Fraud Detection, Scikit-learn.
Microsoft Word, Microsoft PowerPoint, Google Colab, Jupyter Notebooks.
Data Preprocessing, Feature Engineering, Model Evaluation, Statistical Analysis.
Dean, Faculty of Basic Medical Sciences, University of Uyo, Uyo Nigeria. chairmo2013@gmail.com +2347034731970
HOD, Department of Public Health, University of Calabar, Calabar Nigeria. drndep@gmail.com +2349060381917
Sectional Head, Starville School, Abuja josephatebogar@gmail.com +2348054812473
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Summary
Developed a machine learning model to predict passenger survival on the Titanic, applying data preprocessing, feature engineering, and classification algorithms.
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Summary
Built a regression model to predict house prices based on various features, utilizing statistical analysis and machine learning techniques.
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Summary
Designed and implemented a fraud detection system using machine learning to identify anomalous transactions.