Machine Learning programmer with hands-on project-based experience in Supervised Learning(Neural Networks, Linear Regression, Logistic Regression, and Decision Trees), Unsupervised Learning (Clustering, and Anomaly Detection), Reinforcement learning, and Recommender Systems. Also familiar with Git, and GitHub which are necessary for open source projects, and I am very good in documentations using the necessary tools. Highly analytical, and conscientious with excellent interpersonal communication skills to collaborate effectively in cross-functional teams and eager to learn under senior programmers and specialists. Successfully worked on two projects using machine learning techniques like Neural Networks and XGBoost algorithm, and looking to learn more. Open to internship positions, and junior/mid level roles within a high growth-oriented Machine Learning team to help develop quality technology solutions.
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🔭 I’m currently learning more artificial intelligence techniques to ensure better neural network accuracies
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📄 Certifications in AI programming with python Nano degree [Udacity], Machine Learning Foundations [Udacity], Machine Learning specialization [Coursera]
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👯 I’m looking to collaborate on anything that could add to my experience level.
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📝 You can also find me on https://twitter.com/idkdeji
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💬 Ask me about Artificial Intelligence, Machine Learning and Python
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📫 How to reach me [email protected]
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⚡ Fun fact; I think I'm a very fun person.
