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adabyt/README.md

👋 Nice of you to stop by

About Me

LinkedIn

  • I'm a research scientist with 20+ years experience in genetics, cancer biology, immunology, and immuno-oncology
  • I’ve completed: CS50x, CS50 Python, CS50 R, CS50 SQL
  • I’m currently working on several projects to learn about data science, machine learning, and bioinformatics

Tech Stack

Adobe Acrobat Reader Adobe Illustrator Adobe Photoshop Affinity Designer Affinity Photo Anaconda Bash Script C++ Docker Flask Gimp Git GitHub HTML5 JavaScript Jinja Keras Markdown Matplotlib MySQL NumPy Pandas Python R scikit-learn Scipy Seaborn SQLite TensorFlow

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  1. cnn-histopathology-kaggle cnn-histopathology-kaggle Public

    Convolutional Neural Network (CNN) for histopathologic cancer detection using MobileNetV2 and hyperparameter tuning via KerasTuner, trained on Kaggle’s Histopathologic Cancer Detection dataset.

    Jupyter Notebook

  2. rnn-keras-imdb-sentiment rnn-keras-imdb-sentiment Public

    Sentiment analysis on IMDb movie reviews using LSTM-based Recurrent Neural Networks (unidirectional, bidirectional, stacked) in Keras/TensorFlow. Includes visualisations, model architecture, and su…

    Python

  3. stroke-prediction-ml stroke-prediction-ml Public

    Stroke prediction using machine learning (LogReg, RF, GBoost, LightGBM) with class imbalance handling and threshold optimisation

    Jupyter Notebook

  4. imbalanced-data-techniques imbalanced-data-techniques Public

    Dealing with Imbalanced Datasets in Binary Classification: A Comparative Study of Resampling and Ensemble Methods

    Python

  5. cancer-trial-drug-tracker cancer-trial-drug-tracker Public

    MySQL database tracking cancer drug trials, patient outcomes, and cancer types. Final project for CS50 SQL.

  6. oncodex-flask oncodex-flask Public

    A lightweight Flask application for CSV upload, tabular preview, and basic data visualisation using Pandas and Matplotlib. Final project for CS50x.

    HTML