AI-Based Taxi App Development (Final Year Project)
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Summary
Developed an AI-based taxi application as a final year project, integrating machine learning concepts for enhanced functionality and user experience.
Motivated Computer Science graduate with a robust foundation in programming, data handling, and analytical thinking, eager to leverage native language proficiency for remote freelance AI training tasks. Committed to delivering accurate, high-quality data annotation, text labeling, and sentiment analysis to support advanced AI model development. Combines strong technical skills with exceptional attention to detail and a proactive approach to independent task completion.
AI Training Specialist (Data Annotation & Labeling)
Remote, Worldwide
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Summary
Engaged in remote freelance AI training tasks, specializing in data annotation, text labeling, transcription, and sentiment analysis across multiple native languages to enhance AI model performance.
Highlights
Delivered accurate and high-quality data annotation and labeling for text, audio, and image datasets on leading platforms such as CrowdGen by Appen and Remotasks.
Applied strong attention to detail and rigorous quality control processes to ensure data integrity and consistently meet project specifications for AI model training.
Utilized native language proficiency in Hausa, Igbo, Yoruba, Tiv, and Pidgin English for culturally relevant data evaluation, transcription, and sentiment analysis tasks.
Completed extensive online practice tasks and familiarized with common AI training guidelines, ensuring accuracy and consistency across diverse data annotation projects.
Managed time effectively and completed independent tasks efficiently, demonstrating strong organizational skills and commitment to remote work workflows.
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Bachelor of Science
Computer Science
Courses
Introduction to Artificial Intelligence
Machine Learning Basics
Natural Language Processing
Data Structures & Algorithms
Database Management Systems
Programming Languages (Python, Java, C++)
Conversational
Hausa, Igbo, Yoruba, Tiv, Pidgin English, English, Data Annotation, Data Labeling (Text, Audio, Image), Text Classification, Sentiment Analysis, Transcription, Quality Control.
Python, Java, C++, Data Structures, Algorithms, Database Management Systems, SQL, Excel, Data Collection, Data Cleaning, Data Organization, Basic Data Analysis.
Artificial Intelligence, Machine Learning Basics, Natural Language Processing, AI Training Guidelines, Machine Learning Models.
Microsoft Office, Google Workspace, Zoom, Slack, Google Drive, CrowdGen by Appen, Remotasks.
Attention to Detail, Time Management, Independent Task Completion, Critical Thinking, Problem-Solving, Quick Learning, Remote Workflows.
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Summary
Developed an AI-based taxi application as a final year project, integrating machine learning concepts for enhanced functionality and user experience.
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Summary
Undertook various academic projects focusing on data collection, cleaning, analysis, and the application of machine learning concepts.