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  • Nashville, TN

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ahmedhumza94/README.md

Hi there 👋

NOW

I'm an indepedent software developer helping teams build digital products and services.

RECENTLY

I served as a Neuroimaging Analyst at the Vanderbilt Memory & Alzheimer's Center.

🔭 I contributed to investigating the vascular correlates of aging using various MRI techniques such as:

  • Arterial Spin Labeling (ASL)
  • Blood Oxygen Level Dependent (BOLD) Imaging
  • Phase Contrast Angiography (PCA)
  • T2-Relaxation-Under-Spin-Tagging (TRUST) Imaging

Programming languages I used for this work included: .r, .python, .matlab, .bash

BIO

I am a Biomedical Engineer who strongly believes that mathematical modeling of physiological systems can guide the development of personalized medicine. My expertise involves the acquisition and processing of time-series and spatial physiological signals. In addition, I have experience with common classification, clustering, and regression machine learning models. For over eight years I have used statistical and analytical models to tackle poorly understood medical issues.

Pinned

  1. printNii printNii Public

    A command line tool to print nifti file headers

    Swift

  2. fetal_heart_rate fetal_heart_rate Public

    Exploration of the link between fetal heart rate characteristics and intrapartum labor stage using unsupervised and supervised methods.

    Jupyter Notebook 3

  3. customer_segments customer_segments Public

    Unsupervised clustering of the UCI Wholesale Customer Spending Dataset

    HTML

  4. dog-project dog-project Public

    Use of Convolutional Neural Networks and Transfer Learning to create an app that can detect resembling dog breeds from user supplied images.

    HTML 1

  5. finding_donors finding_donors Public

    Application of supervised learning algorithms on the UCI 1994 U.S. Census Dataset to classify individual income.

    HTML

  6. smart-cab smart-cab Public

    Use of Q-Learning to train a smart cab agent to navigate an environment following U.S. Right of Way Laws.

    HTML 1