Aaliyah AgboolaAA
Open to opportunities

Aaliyah Agboola

@aaliyahagboola

Passionate Machine Learning Engineer with expertise in AI applications.

Nigeria

What I'm looking for

I am seeking a hands-on internship to contribute and expand my expertise in frontier AI models.

I am a dedicated Machine Learning Engineer with a strong foundation in Python and TensorFlow, complemented by a diverse skill set in various machine learning techniques, including Deep Learning, Naïve Bayes, SVM, and Clustering. My journey in this field has been driven by a passion for developing scalable solutions that leverage AI applications and data-driven insights.

Throughout my academic career, I have successfully built and optimized models for both structured and unstructured data. My projects, such as the Deep Learning model for housing price prediction and the Email Spam Detection classifier, showcase my ability to apply advanced algorithms and techniques to real-world problems. I am committed to continuous learning and am eager to contribute to innovative projects that push the boundaries of AI.

Experience

Work history, roles, and key accomplishments

N/
Current

Machine Learning Engineer Intern

N/A

Nov 2023 - Present (1 year 6 months)

Passionate Machine Learning Engineer with experience in building and optimizing models for structured and unstructured data. Developed deep learning models for housing price prediction and implemented classifiers for email spam detection and credit card fraud detection.

Education

Degrees, certifications, and relevant coursework

Federal University of Agriculture Abeokuta logoFA

Federal University of Agriculture Abeokuta

Bachelor of Science, Computer Science

2023 -

Grade: 3.5

Activities and societies: Involved in projects related to machine learning, including deep learning, email spam detection, and credit card fraud detection.

Currently pursuing a Bachelor of Science in Computer Science with a CGPA of 3.5. Engaged in various projects focusing on machine learning applications, including deep learning for housing price prediction and email spam detection using Naïve Bayes.

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