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Nazar P.
🇺🇦Ukraine (UTC+02:00)
Created AtUpstaffer since August, 2023

Nazar P. — Data Scientist

Expertise in AI and Machine Learning, Data Science, Data Visualization.

Last verified on August, 2023

Core Skills

Bio Summary

- 0.5 years of experience - Data Scientist with a Machine Learning background - Upper-Intermediate English.

Technical Skills

Programming LanguagesC#, C++, Python
AI & Machine LearningAWS ML (Amazon Machine learning services), Deep Learning, Keras, Machine Learning, NLP, NumPy, OpenCV, PyTorch, Scikit-learn, TensorFlow
Python FrameworksFastAPI
Python Libraries and ToolsKeras, Matplotlib, NumPy, Pandas, PyTorch, Scikit-learn, Seaborn, TensorFlow
Data Analysis and Visualization TechnologiesDVC, Pandas
Databases & Management Systems / ORMPostgreSQL, SQL, SQLite
Cloud Platforms, Services & ComputingHeroku
Amazon Web ServicesAWS Cloud Data Science services, AWS ML (Amazon Machine learning services)
Virtualization, Containers and OrchestrationDocker
SDK / API and IntegrationsFastAPI
Version ControlGitHub, GitLab
Operating SystemsLinux
Methodologies, Paradigms and PatternsOOP
Third Party Tools / IDEs / SDK / ServicesPyCharm, Visual Studio
Other Technical SkillsData Science, LaTeX, MS VS Code, NLP/ML algorithms, speech and NLP/ML techniques

Experience

Data Scientist

Sep 2022 - Present
Description: Medical project for classification and segmentation the fundus images for diabetic retinopathy signs.
Responsibilities:

  • Implementation and training of various SOTA Neural Network architectures to solve different tasks in the Computer Vision domain.
  • Work on the improvement and maintenance of the customer-specific annotation tool that allows us to manage the arrival of new data conveniently.
  • Design and implementation of end-to-end MLOps pipelines that cover all stages of the model life-cycle from data preparation to automatic redeployment.
  • Building efficient and scalable API's for trained Neural Networks.
  • Performing analysis of different forms to satisfy customer requests: visualizations, reports, etc.

Technologies: Python, OpenCV, matplotlib, pandas, NumPy, Tensorflow/Keras, PyTorch/PyTorch Lightning, PostgreSQL, SQLite, Linux, Docker, AWS(sagemaker, S3), vision transformers, advanced training strategies

Education

University of Lviv, Bachelor’s Degree in Computer Science

Certificates

  • ods.ai, Deep Learning course
  • Stepik, Statistic Basics course

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