Aliaksandra Shymanskaya
Summary
As a Senior Data Scientist with a Ph.D. in Physics, my expertise spans machine learning, statistics, data visualisation, medical imaging, and e-commerce applications. Combining industry experience with a strong academic foundation, I have a proven track record in applying machine- learning techniques to complex datasets. I have contributed to international collaborations, presentations at conferences, and publications in peer-reviewed journals, which demonstrates my ability to drive innovation in data science across diverse fields. My experience ranges from developing advanced analytics solutions, including recommender systems using recurrent neural networks and customer value prediction models, to applying sophisticated data analysis techniques such as LCMM in neuroimaging and medical diagnostics.
Overview
9
9
years of professional experience
1
1
Certification
Work history
Senior Data Scientist
flaschenpost SE
Cologne, Germany
08.2022 - Current
- Engineered cutting-edge ML-based customer recommendation systems, leveraging neural networks (including RNNs) for e-commerce
- Designed and executed multiple A/B tests, optimising customer experience and driving a 2% increase in conversion rates
- Conducted comprehensive and innovative customer analyses to enhance customer insights
- Pioneered the integration of ChatGPT
- Collaborated cross-functionally with marketing and product teams to implement data-driven strategies
Data Scientist
University Hospital Aachen
Aachen, Germany
06.2020 - 07.2022
- Responsible for management of data acquisition and data processing pipelines for several research projects in the Psychiatry department
- Responsible for creating GDPR-informed guidelines for future research projects as well as planning research projects and managing junior researchers
- Successfully deployed RedCAP and XNAT systems, streamlining data management for several concurrent research projects and ensuring GDPR compliance
- Designed and optimised relational databases using MySQL
- Developed and implemented machine learning models for psychological diagnosis prediction using TensorFlow and Keras
- Conducted advanced statistical analyses on longitudinal behavioural data and unsupervised learning techniques on resting-state fMRI data
- Delivered lectures on Biometrics and Clinical Epidemiology to medical students
MRI Physicist
University Hospital Cologne
Cologne, Germany
09.2019 - 05.2020
- Responsible for a research project in coronary stent development involving several industry partners
- Collaborated with a multidisciplinary team of radiologists and neuroscientists
- Conducted advanced flow measurements in intracranial aneurysms using Philips MRI scanners and 4D Flow technology
- Applied traditional and machine learning quantification approaches to analyse aneurysm flow data
- Implemented radiomics techniques to study feature reproducibility in meningioma using multimodal MRI imaging
Doctoral Studies
INM-11, Research Centre Juelich
Juelich, Germany
09.2016 - 08.2019
- Spearheaded a comprehensive sodium brain MRI project, managing all phases from theoretical conception to patient studies, resulting in a novel imaging technique
- Engineered advanced simulation and image analysis algorithms using MATLAB
- Developed innovative theoretical models for MR signal decay during short echo time acquisition
- Executed over 100 hands-on measurements using SIEMENS 3T and 4T MRI scanners, optimizing protocols for maximum efficiency and patient comfort
- Pioneered a new quantification methodology for cerebral gliomas
- Presented research findings at multiple international conferences
Visiting scientist
University of Melbourne
Melbourne, Australia
09.2017 - 10.2017
- Established and managed a strategic partnership between the Melbourne Brain Centre Imaging Unit and the Institute of Neuroscience and Medicine, Research Centre Juelich
Education
Doctor of Philosophy - Physics
RWTH Aachen University
Aachen, Germany 2016 - 2019
Master of Science - Physics
RWTH Aachen University
Aachen, Germany08.2016
Bachelor of Science - Physics
Bonn University
Bonn, Germany08.2014
Skills
Programming Languages:
- Python
- R
- SQL
Machine Learning Deployment:
- Databricks
- AzureML
- Docker
- Git
Data Visualisation:
- React
- D3
- Streamlit
Others:
- Microsoft Office
- LATEX
- SPSS
Publications
Recent Publications:
- Shymanskaya, Aliaksandra, et al. "Brain network changes in adult victims of violence." Frontiers in psychiatry 14 (2023): 1040861.
- Hüpen, P., Kumar, H., Shymanskaya, A., Swaminathan, R., & Habel, U. (2023). Impulsivity Classification Using EEG Power and Explainable Machine Learning. International Journal of Neural Systems, 33(02), 2350006.
Complete Publications List:
https://orcid.org/0000-0001-7251-9539
Languages
English
Proficient (C2)
German
Proficient (C2)
Russian
Native
Belarusian
Native
Polish
Elementary (A2)
Italian
Elementary (A2)
Affiliations
- Data visualisation
- Data blogging
- Archery
- Forró
Accomplishments
Germany Scholarship funded by Robert Bosch GmbH
Certification
Coursera Certificates:
- Introduction to Machine Learning in Production
- Neural Networks and Deep Learning
- Structuring Machine Learning Projects
Timeline
Senior Data Scientist
flaschenpost SE
08.2022 - Current
Data Scientist
University Hospital Aachen
06.2020 - 07.2022
MRI Physicist
University Hospital Cologne
09.2019 - 05.2020
Visiting scientist
University of Melbourne
09.2017 - 10.2017
Doctoral Studies
INM-11, Research Centre Juelich
09.2016 - 08.2019
Doctor of Philosophy - Physics
RWTH Aachen University
2016 - 2019
Master of Science - Physics
RWTH Aachen University
Bachelor of Science - Physics
Bonn University
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