Position: C# developer/Python developer/ML Engineer/Data Scientist
Category: Python
English level: fluent
Years of experience: 5

• Scientist and developer with strong communication and organizational skills • Over 5 years of professional experience in data science projects using Python and respective machine learning modules • Strong expertise in relational DB design and development • A responsible and proactive person with an analytical mindset and logical thinking
Graph centralities measures determination. The methods of machine learning were used to predict hard-to compute graphs centralities measures based on easy-to-compute centralities measures as features.Technologies: Neo4j, Pandas, Tensorflow, Jupyter Notebook, Google ColabInvolvement: Developed code and performed research Chess database visualizationAnalysis of chess games datasetTechnologies: Docker, Neo4j, Jupyter NotebookInvolvement: Prepared data based on some existing chess games information and implemented a Neo4j database to store .pgn files with chess games and gained some valuable insights based on the stored data.Surface defect detectionSegmentation and classification of defects based on imagesTechnologies: Keras, PyTorch. GitLab CI/CD workflow was designed for Google Cloud AI PlatformInvolvement: Implemented multi-class classification with image segmentation on steel casting images dataset TensorFaces classificationYale Face Database image recognitionTechnologies: TensorLy, Matplotlib, SeabornInvolvement: Implemented TensorFaces model to recognize user by looking at respective photo based on Yale Face Database Complex enterprise automation information system A web-based application of enterprise automation information systemTechnologies: C#, ASP.Net WebForms, Microsoft SQL ServerInvolvement: Application design and back–end development
I expect the company which can be a win-win situation for both sides