Machine Learning Engineer 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.
- London, United Kingdom
- wahidulalamriyad.com
- in/wahidulalamriyad
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classification_models_for_coronary_heart_disease
classification_models_for_coronary_heart_disease PublicConducted research and developed a system under Dr Jixin Ma on the comparison of numerous classification models to predict coronary heart disease using past medical data from the UCI Machine Learni…
Jupyter Notebook
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Multitask_Classification_On_Amazon_Reviews
Multitask_Classification_On_Amazon_Reviews PublicConducted research and developed a system under Dr Stef Garasto on the comparison of numerous machine learning models to solve a multi-task classification problem using an existing dataset for the …
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ChrisCo_Venue_Visits
ChrisCo_Venue_Visits PublicConducted research and developed a system under Dr Chris Walshaw by implementing numerous data visualisation techniques to showcase the customers’ visits to the store using the ChrisCo Company data…
Jupyter Notebook
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Smart_Analysis_System
Smart_Analysis_System PublicConducted research and developed a system under Dr Hamam Mokayed on an intelligent analysis system for juvenile safety against gun violence using facial recognition technology by utilising real-tim…
JavaScript 3
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Vehicle_Intelligent_System
Vehicle_Intelligent_System PublicThe proposed algorithms that have been used in this Project are Saliency, Background Subtraction, K-Means, Dilation, Erosion, Blob, and YOLO. The YOLO v3's accuracy in the project is faster and mor…
C++ 1
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Ant_Colony_Optimization_For_TSP
Ant_Colony_Optimization_For_TSP PublicIn implementing the ant colony optimization algorithm, the developer has used 500 ants and 8 US-based cities to calculate the shortest route for the TSP. The developer found out that the number of …
Java
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