Anastasiya Peskova
Anastasiya Peskova

Data Scientist

Actively looking · Member since 21 Oct 2025
Message
Location
Georgia
Desired salary
Unspecified
Work preference
Full Time, Contract
Experience level
Not set

About

Professional summary

I am a data scientist with 5 years of industry experience specializing in machine learning, statistical analysis, and ML deployment. My expertise spans working with tabular data, deep learning, and collaborating effectively with cross-functional teams. I am passionate about leveraging data to solve complex problems and drive impactful business decisions.

Currently, I am expanding my skills in MLOps and scalable infrastructure to enhance the deployment and maintenance of machine learning models in production environments. I have hands-on experience in developing computer vision models, natural language processing, and classical machine learning techniques.

Throughout my career, I have contributed to various projects including building transformer-based UNet architectures for image segmentation, automating technical documentation workflows, and developing recommender systems. I am proficient in Python and SQL, and familiar with a wide range of libraries and tools such as pandas, scikit-learn, PyTorch, FastAPI, and Docker.

I am a proactive learner and continuously seek to improve my technical skills and domain knowledge. My background includes working with large-scale SQL analytics, feature engineering, and exploratory data analysis. I am comfortable working in agile environments and collaborating with domain experts to deliver high-quality solutions.

I am fluent in Russian and English, with beginner proficiency in Finnish. I am open to relocation and eager to contribute to innovative projects that challenge my abilities and foster professional growth.

Skills

13 capabilities

Experience

Career history

Data Scientist IventIM

- Led an end-to-end computer vision model development using transformer-based UNet architecture for segmentation of microscopic images.
- Contributed to the data annotation and curation processes by labeling medical image data and led iterative model development through collaboration with domain experts.

Software Engineer IventIM

- Built internal automation tools for technical documentation workflows using Python, Docker, and Docusaurus.
- Developed Dash-based dashboards for visualization and monitoring internal resource usage across software components.

Data Scientist Standardproject LLC

- Developed CatBoost models to automatically resolve OCR output conflicts, reducing manual review by 87%.
- Performed data preparation, curation and analysis by querying large datasets from PostgreSQL and ClickHouse databases.

Data Scientist Atomenergoproject JSC

- Built automated data preparation workflows by extracting, cleaning, and standardizing features from natural language data.
- Prototyped cost prediction ML models, demonstrating initial experience in developing AI/ML solutions.

Education

Learning history

Higher School of Economics

Bachelor of Science in Information Studies and Computational Technology

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