Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 2

• Winner of All-Ukrainian math (2017) and physics (2018, 2019) school olympiads
• Grant with a full covering of studying payment in university
I have 1.5 years of commercial experience. I want to work as Data Scientist and deeply understand anything in this sphere. My main focus was Computer Vision, but I also have pet projects with ML/DL, 2D/3D processing, forecasting and RL.

SKILLS

Tech Stack
• Languages: Python3 (primary); C++
• Frameworks: PyTorch, Kornia, OpenCV, Scipy, Scikit-learn
• Data visualization: Matplotlib, Plotly, Seaborn
• Infrastructure: Docker; AWS (Lambda, S3)

Concept Understanding
• Machine Learning: Supervised (Linear regression, SVM, Random forest, Gradient boosting), Unsupervised (DBSCAN, SVD, k-means, PCA, ICA)
• Computer Vision: Object detection/segmentation/tracking (Mask-RCNN, YOLO, etc); Classic algorithms
• Data Analysis: Statistical inference, Hypothesis testing, Data visualization, Time series forecasting
(both classic and RNN-based)
• Document Understanding: OCR tools (Google Cloud Vision, AWS Textract)
• Embodied AI: Scene understanding (classic V-SLAM), Simulators (Habitat)
• Math: Liner algebra, Probability theory, Statistics, Calculus, Convex optimization
• Algorithms and Data Structures: Graph theory, Self-balancing trees, Flow networks
• Other: OOP, Microservices, Parallel programming

Workflow
• Software Engineering: Linux, Git, Jira, Confluence, Unit testing
• Experiment tracking: Tensorboard, Vulkan