Machine Learning: Post-Harvest Loss Prediction
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Summary
Led research and development of a machine learning model to predict post-harvest losses in Northern Nigeria, aiming to enhance regional food security.
Analytical and tech-savvy Computer Science student with a strong foundation in machine learning, cybersecurity, and data analysis. Proven ability to lead technical projects in predictive modeling, cryptographic research, and phishing detection. Combines technical ability with professional sales experience, bringing strong communication, attention to detail, and a results-oriented approach to AI evaluation, data labeling, research, and junior technology roles.
Sales Representative
Port Harcourt, Nigeria
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Summary
Maintained a strong sales record by identifying customer needs and recommending tailored product solutions, demonstrating effective communication and negotiation skills.
Highlights
Achieved consistent sales targets by effectively identifying customer needs and proposing customized product solutions.
Demonstrated strong communication and negotiation skills in a fast-paced environment, enhancing customer relationships and closing deals.
Managed precise inventory tracking and daily transaction reporting, ensuring high accuracy and operational efficiency.
Resolved customer inquiries and complaints promptly, contributing to improved customer satisfaction and fostering repeat business.
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Bachelor of Science
Computer Science
Courses
Information Storage and Retrieval (CSC 413)
Computer Graphics
Networking
Database Management
Python, SQL, Machine Learning, Scikit-learn, TensorFlow.
Cryptography, Smishing Detection, Network Security.
Information Storage & Retrieval, Computer Graphics, Networking.
Linux, Git/GitHub, Microsoft Office Suite, Mobile OS Troubleshooting.
Mobile App Troubleshooting, Cross-platform UI/UX Evaluation.
Mobile Photography & Editing.
Fragrance Collection.
Football Analytics.
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Summary
Led research and development of a machine learning model to predict post-harvest losses in Northern Nigeria, aiming to enhance regional food security.
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Summary
Developed a research framework for detecting SMS-based phishing and implemented secure file-sharing protocols to protect data integrity.