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  • University of Bristol
  • United Kingdom

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jamiemilsom/README.md

Hi, im Jamie ⛰️

I’m a Data Scientist / Machine Learning Engineer with a strong foundation in mathematical modelling, signal processing, and computer vision. My focus is on solving complex, multidisciplinary problems using both traditional and modern machine learning techniques.

With experience as a Research Engineer and hands-on expertise in various machine learning methods, I'm always exploring new applications. My interests span diverse fields, including fraud detection in banking, biomarker analysis in biology, and sports technology.

When I’m not deep in data, you’ll find me hitting the trails for a run or scaling the nearest crag 🧗‍♂️

Languages

Python  MySQL C++  

Machine Learning Frameworks

TensorFlow   PyTorch   Scikit-learn   Keras

Computer Vision Frameworks

OpenCV YOLOv8 Segment Anything

Operating System

Ubuntu

Connect with Me

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  1. PSSM_CNN PSSM_CNN Public

    Unveiling Protein Structure: A Convolutional Neural Network Approach to Secondary Structure Prediction

    Jupyter Notebook 1

  2. RajasJoshi/HeartGuard RajasJoshi/HeartGuard Public

    C++ 3 1

  3. yolov8-for-cell-detection yolov8-for-cell-detection Public

    This repository contains the code and resources for a YOLOv8-based cell detection model. The model is designed to accurately identify and localize cells within microscopy or other biological images…

    Python 1

  4. Fisheye_ChArUco_Calibration Fisheye_ChArUco_Calibration Public

    Robust camera calibration using ChArUco boards for fisheye and pinhole cameras with image undistortion and virtual camera support.

    Python 6 1

  5. adventOfCode-2024 adventOfCode-2024 Public

    Advent of Code 2024: Practicing TDD with Python A repository for solving Advent of Code 2024 puzzles using Python with a focus on Test-Driven Development (TDD). Minimal library usage for hands-on l…

    Python

  6. bloodGlucosePrediciton bloodGlucosePrediciton Public

    Using historical blood glucose readings, insulin dosage, carbohydrate intake, and smartwatch activity data to predict future blood glucose.

    Jupyter Notebook