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Вилена Абдикашева

@vilena-abdikasheva

Junior Data Scientist, Medical Imaging and Applied Machine Learning

Магистрантка КФ МГУ. Исследую глубокое обучение для медицинских УЗИ-изображений: классификация, доменный сдвиг, интерпретируемость. Есть опыт аналитики медицинских данных. Ищу занятость на позициях Data Analyst или Data Scientist.

Career

Experience

Data Analyst Intern

National Information Technologies JSC

Kazakhstan's state-owned IT operator, it builds and runs national digital services, including the e-government platform and shared public-sector systems.

Queried and prepared medical data, then built a dashboard for cancer registry indicators and shared findings with the team.

• Wrote and optimized SQL queries in ClickHouse to process large Ashyq Data datasets. • Cleaned, validated, and preprocessed raw data, removing duplicates and anomalies. • Developed an interactive dashboard of key indicators for the cancer patient registry. • Prepared analytical findings for the team and documented work in Planka.

Software Development Intern

Logos Grain

Helped integrate an AI support module into a mobile app and prepared Excel data for a new database.

• Contributed to developing and integrating an AI support module in the company's mobile app. • Cleaned and structured Excel data for a new database. • Wrote API queries, worked with GitLab CI/CD, and prepared presentations of results.

Core Team Member

Google Developer Student Clubs

Organized student workshops and taught Kotlin and Jetpack Compose at Android Compose Camp.

• Organized online and in-person workshops for students and invited and coordinated speakers. • Spoke at Android Compose Camp, teaching students Kotlin and Jetpack Compose development.

Education

Master's degree, Computational Technologies and Artificial Intelligence Methods

Lomonosov Moscow State University, Kazakhstan Branch

2025 — 2027

Bachelor's degree, Applied Mathematics and Cybernetics, Operations Research Department

Lomonosov Moscow State University, Kazakhstan Branch

2021 — 2025

Selected projects

Ultrasound Classification of Breast Lesions

Trained a benign versus malignant lesion classifier on BUS-BRA. Evaluated model robustness to domain shift on the external BUSI dataset and robustness to image distortions. Compared ImageNet, RadImageNet, DINOv2, and USFM at different proportions of labeled data.

Classification of Kidney Ultrasound Images

Built a classifier for native and transplanted kidneys, comparing EfficientNet and MobileNet. Completed the workflow from augmentation and transfer learning to metric analysis and Grad-CAM interpretation. Tested transfer to a new unlabeled set of 1,000 ultrasound images.

Object Detection in Video

Created a dataset from scratch by recording video, extracting frames, and labeling two classes. Trained a detector with an EfficientNet backbone.

Skills

PythonSQLC/C++PyTorchTransfer learningCNNEfficientNetMobileNetData augmentationGrad-CAMPandasNumPyClickHouseExcelDashboardsGitGitLab CI/CDLaTeXVS CodePlanka