KAFILAT MUSA

Artificial Intelligence Researcher | Machine Learning Practitioner | Data Scientist | AI for Health, Agriculture & Education

Zaria, NG.

About

An interdisciplinary Artificial Intelligence researcher with an MSc in AI (expected 2027) and a strong background in Biochemistry and Science Education, specializing in machine learning, deep learning, and computer vision. Proven ability to develop AI solutions for healthcare, agriculture, and education, leveraging Python, PyTorch, and predictive analytics. Seeking to apply robust research, quantitative analysis, and responsible AI principles to drive sustainable development initiatives within organizations like C4ED, UNDP, WHO, UNICEF, and leading research institutes.

Work

West African Examinations Council (WAEC)

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Examination Assessment Assistant

, , Nigeria

Summary

Contributed to national examination assessment, ensuring quality, confidentiality, and consistency in marking processes.

Highlights

Participated actively in the national examination marking process, contributing to the fair and accurate evaluation of student performance.

Maintained strict assessment quality and confidentiality standards, upholding the integrity of the examination system.

Collaborated effectively with a team of examiners, ensuring consistent marking standards and reliable assessment outcomes across a large volume of papers.

3MTT AI in the NextGen Cohort

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Participant

Zaria, Kaduna State, Nigeria

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Summary

Actively participates in advanced AI training and collaborative projects, applying cutting-edge methodologies to solve real-world development challenges.

Highlights

Engaged in advanced Artificial Intelligence training, significantly enhancing expertise in machine learning, model development, and responsible AI practices.

Applied sophisticated AI methodologies to tackle complex real-world development challenges, contributing to innovative solutions.

Collaborated effectively within multidisciplinary learning teams, fostering knowledge exchange and collective problem-solving.

Strengthened practical application of machine learning, deep learning, and responsible AI principles through hands-on project involvement.

Independent AI Researcher

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Artificial Intelligence Researcher

Zaria, Kaduna State, Nigeria

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Summary

Led the development of AI and machine learning solutions, applying responsible AI principles to address challenges across healthcare, agriculture, and education.

Highlights

Developed and deployed AI/ML solutions, directly impacting practical challenges in healthcare, agriculture, and education sectors.

Conducted comprehensive exploratory data analysis and predictive modeling, utilizing Python-based workflows to generate actionable insights.

Ensured ethical AI development by consistently applying responsible AI principles throughout the entire project lifecycle.

Produced clear, concise technical documentation and analytical reports, facilitating understanding and dissemination of complex AI research findings.

Executed rigorous model evaluation and interpretation using appropriate performance metrics, ensuring robust and reliable AI system performance.

Data Science Nigeria (DSN)

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AI & Machine Learning Project Developer

Zaria, Kaduna State, Nigeria

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Summary

Developed and implemented diverse machine learning and deep learning models, contributing to predictive analytics and reproducible AI workflows.

Highlights

Constructed robust machine learning models using Python and Jupyter Notebook, demonstrating proficiency in core ML development.

Successfully applied various regression techniques for predictive analytics, yielding insights for data-driven decision-making.

Engineered deep learning models utilizing PyTorch, showcasing advanced capabilities in neural network architecture and implementation.

Executed comprehensive data preprocessing, feature engineering, and rigorous model evaluation, ensuring high-quality and reliable AI solutions.

Established and maintained reproducible AI workflows, adhering to industry best practices for efficiency and collaboration.

Government Secondary School, Tudun Wada

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Teacher

Zaria, Kaduna State, Nigeria

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Summary

Educates students in Mathematics, Biology, Chemistry, and Integrated Science, employing learner-centred approaches and integrating digital technologies to enhance learning outcomes.

Highlights

Delivered engaging instruction across Mathematics, Biology, Chemistry, and Integrated Science to diverse student populations.

Designed and implemented learner-centred instructional materials, improving student comprehension and engagement in complex scientific concepts.

Assessed student learning using evidence-based approaches, providing constructive feedback and tracking academic progress.

Successfully integrated digital technologies into classroom instruction, enhancing learning experiences and promoting digital literacy.

Mentored students in scientific inquiry and critical thinking, fostering a deeper understanding of scientific principles and problem-solving skills.

Ansaarisunnah School

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Teacher

Zaria, Kaduna State, Nigeria

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Summary

Provided comprehensive instruction in science subjects, developed curriculum materials, and mentored students to foster academic growth and achievement.

Highlights

Delivered effective instruction in various science subjects, cultivating a strong foundation for student learning over a decade.

Developed and implemented comprehensive lesson plans and assessments, ensuring alignment with curriculum objectives and student needs.

Evaluated student performance rigorously, providing targeted support to improve academic outcomes.

Actively supported curriculum implementation, contributing to the enhancement of educational programs and teaching methodologies.

Mentored numerous students academically, guiding them towards improved understanding and higher scholastic achievement.

Education

National Teachers Institute, Kaduna

Kaduna, Kaduna State, Nigeria
Postgraduate Diploma Education Grade:

Ahmadu Bello University, Zaria

Zaria, Kaduna State, Nigeria
Postgraduate Diploma Forensic Biotechnology Grade:

Ahmadu Bello University, Zaria

Zaria, Kaduna State, Nigeria
Bachelor of Science (B.Sc.) Biochemistry Grade:

Ahmadu Bello University, Zaria

Zaria, Kaduna State, Nigeria
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MSc Artificial Intelligence Grade:

Courses

Machine Learning

Deep Learning

AI Ethics

AI Governance

Research Methodology

Data Science

Languages

English

Hausa

Yoruba

Arabic

Certificates

3MTT AI in the NextGen Cohort

3MTT

Data Science Nigeria AI & Machine Learning Training

Data Science Nigeria

Certified Digital Teacher

Not Specified

Cybersecurity Certifications

Not Specified

Africa Agility Product Design Training

Africa Agility

ECO30 System Sustainable Living Challenge Participant

ECO30 System

Skills

Programming

Python.

Machine Learning & AI

Machine Learning, Deep Learning, Regression Analysis, Computer Vision, Transfer Learning, Predictive Analytics, Responsible AI, AI Governance, Healthcare AI, AI for Agriculture, Educational Technology.

Libraries & Frameworks

PyTorch, Matplotlib.

Development Tools

Jupyter Notebook, Google Colab, Visual Studio Code.

Data Analytics

Microsoft Excel, Power BI, Data Analysis, Data Interpretation.

Research & Methodology

Quantitative Research, Qualitative Research, Scientific Writing, Literature Review, Technical Documentation, Research Methodology, Evidence Synthesis, AI Ethics, Scientific Communication, Monitoring & Evaluation, Public Health Analytics, Sustainable Development.

References

Professor Nafiu Abdul

Ahmadu Bello University, Zaria

Dr. Zaharuddeen Haruna

Ahmadu Bello University, Zaria

Projects

Pepper Leaf Disease Classification using CNN and Transfer Learning

Summary

Developed a robust convolutional neural network (CNN) model for the classification of greenhouse pepper leaf diseases, leveraging transfer learning to significantly enhance model performance.

Marketing Regression Analysis

Summary

Constructed a multiple linear regression model to analyze the impact of various marketing channels on business performance, enabling data-driven strategic decisions.

Marketing Regression

Summary

Implemented core regression algorithms and applied advanced feature engineering for predictive analytics, optimizing model accuracy and interpretability.