Some Interests: Computer Vision, NLP, Medical Image Analysis, Biomedical Signal Processing …
I’ve recently completed my MSc in Medical Biophysics at the University of Toronto where I applied state of the art computer vision methods for automating aspects of radiology workflow. My graduate work focused on the development of deep learning methods for automated brain tumour segmentation and more classical machine learning techniques for prediction of patient response to radiotherapy from MRI data. In my most recent contract work, I worked with satellite data for agricultural analysis.
TLDR: Recent graduate with some industry experience looking for a full/part-time data scientist / machine learning developer position.
Thanks for reading. Shoot me an email if you want to chat :)
Remote: Yes
Willing to relocate: Yes
Technologies:
- Languages: Python, MATLAB, Fortan, (some experience: shell scripting, C++)
- Packages: NumPy, SciPy, sklearn, Pandas, Keras, Tensorflow, …
- Other: Git, (some experience: Docker, SQL)
Resume/CV: send me a message via email or LinkedIn: www.linkedin.com/in/amourav
Email: [email protected]
Portfolio: https://github.com/amourav
Background: BSc (physics), MSc (medical biophysics – thesis: MRI + ML)
Some Interests: Computer Vision, NLP, Medical Image Analysis, Biomedical Signal Processing …
I’ve recently completed my MSc in Medical Biophysics at the University of Toronto where I applied state of the art computer vision methods for automating aspects of radiology workflow. My graduate work focused on the development of deep learning methods for automated brain tumour segmentation and more classical machine learning techniques for prediction of patient response to radiotherapy from MRI data. In my most recent contract work, I worked with satellite data for agricultural analysis.
TLDR: Recent graduate with some industry experience looking for a full/part-time data scientist / machine learning developer position.
Thanks for reading. Shoot me an email if you want to chat :)