MARIJA VELLA
WORK EXPERIENCE
Data Intelligence Manager at BOV
Oct 2024
Leading a team of data analyst utilise data to help drive business success.
Data Analytics Consultant at EY
Oct 2023 - Sep 2024
I help businesses harness the power of data to make strategic decisions. Proficient in data curation methods, data visualisation tools,
AI Research Scientist at IBEX Innovations
Jan 2022 - Jul 2023
My role involves developing innovative solutions enhanced with AI. During my time at IBEX I developed
a Python-based solution to auto-align 3D volumes and enable healthcare providers to effortlessly view
clinically relevant views. Currently, I'm working on the wider bone health project which aims to extract bone
health information during a normal X-Ray scan. This series of projects involve the use of Pytorch, Pandas,
and various image processing packages such as opencv and albumentations.
AI Research Intern at Canon Medical Europe
Jun 2021 - Aug 2021
During this internship, I worked on federated machine learning to analyse how it can help health institutions
share anonymised information to train more robust AI networks. I focused on cases where hospitals with
different specialisations would like to share data and designed experiments to analyse how they can still
train unbiased AI networks. For this project I trained networks via Pytorch and created different testing scenarios
via Pandas. I also contributed to the codebase.
Teaching/Lab Assistant at Heriot-Watt University
Jan 2019 - Dec 2020
During my PhD I tutored third-year engineering students on statistics and engineering mathematics. I also
acted as a lab assistant for various image and signal processing modules. My role was to explain imaging
algorithms and help them develop Matlab code. These courses were taken by final year undergraduate and
Master's students.
MSc Student Internship at Moody's Analytics
Jun 2018 - Sep 2018
The aim of the project was to assess how the yield curve predictions provided by Moody's Analytics economic scenario generator (ESG) can be generated more efficiently with ML. Through the use of dimensionality reduction techniques and various ML algorithms I designed a system to identify the dependencies between the inputs provided to the ESG model and the economic variables it generates through the use of ML.
Quality Engineer at Seifert Systems
Jun 2016/2017 - Sep 2016/2017
For two consecutive summers, I formed part of the Quality department at Seifert Systems. During this time I was responsible for finding ways to enhance the current quality standards. I developed plans to enhance the current procedures for ensuring high-quality products for the customers and also better safety measures for employees. After an internal review, my quality plans were introduced.
SKILLS
PROGRAMMING LANGUAGES
Python MATLAB R C++
SPECIALISATIONS
AI Image Processing Medical Imaging Optimisation