wahidulalamriyad

About me: Machine Learning Engineer and Data Scientist with experience developing and deploying sophisticated AI models. Proven track record of delivering high-impact projects, such as achieving 89% accuracy in predicting coronary heart disease using advanced classification models and surpassing state-of-the-art performance in food image recognition with TensorFlow. Proficient in Python, Scikit-Learn, TensorFlow, and a range of essential ML libraries, with hands-on expertise in data preprocessing, feature engineering, and model evaluation. Adept at collaborative work and problem-solving. ∞ Key Achievements: ✔ Accomplished 19 professional certifications, equivalent to 28 certified courses from the University of Oxford, IBM, Microsoft, DataCamp, and ZeroToMastery, with a 100% score. ✔ Developed over 19 high-level projects regarding artificial intelligence, machine learning, deep learning, computer vision, data science, optimisation, and intelligent systems development. ✔ Published a Q3 tier Scopus index journal by the Journal of Advanced Research in Dynamical and Control Systems. Presented research works at the 3rd Global Conference of Computing and Media Technology, Kuala Lumpur, Malaysia. • Skills: Machine Learning, Deep Learning, Clustering & Classification, Regression, Predictive Analytics, Data Modelling, Data Visualisation, Web Scraping, Collaborative, Leadership Skills, Project Management. • Programming Languages: Python, SQL. • Machine Learning Stack: TensorFlow, Scikit-Learn, NumPy, Pandas, Matplotlib, Keras, OpenCV, spaCy. • Software Engineering Stack: Azure, Docker, Git, GitHub, Bash.

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