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wahidulalamriyad/README.md

🏆Bio

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.

🧑🏻‍💻Portfolio

Portfolio

🕸️Socials

LinkedIn Medium Credly

🦾Skills

Machine Learning Deep Learning Clustering & Classification Regression Predictive Analytics Data Modelling Data Visualisation LLM NLP 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

AWS Docker Git GitHub Bash

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  1. qa_on_private_documents_rag qa_on_private_documents_rag Public

    Developed an advanced question-answering system utilising the OpenAI, Pinecone, and LangChain (OPL) stack, enabling dynamic information retrieval from nonpublic or recent documents not covered in t…

    Jupyter Notebook

  2. skimlit skimlit Public

    Replicated a cutting-edge NLP model from the 2017 paper "PubMed 200k RCT" to classify sentences in medical abstracts sequentially, using the dataset of ~200,000 labelled Randomised Controlled Trial…

    Jupyter Notebook

  3. food_vision_big food_vision_big Public

    Developed the Food Vision Big model using TensorFlow, surpassing the performance of the 2016 DeepFood CNN model with an accuracy of 80.2% on the Food101 dataset comprising 101,000 images. Implement…

    Jupyter Notebook

  4. classification_models_for_coronary_heart_disease classification_models_for_coronary_heart_disease Public

    Conducted 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

  5. Smart_Analysis_System Smart_Analysis_System Public

    Conducted 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

  6. Vehicle_Intelligent_System Vehicle_Intelligent_System Public

    The 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