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Kristina Shagina

@kristinashagina

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Data Scientist & ML Engineer delivering production ML systems that impact business.

Georgia

Message

What I'm looking for

I seek senior ML/Data roles where I can ship production ML, drive business impact, mentor teams, and build robust MLOps and analytics practices.

I am a Data Scientist and Machine Learning Engineer with over six years of hands-on experience building and deploying end-to-end machine learning systems across recommender engines, computer vision, NLP, and LLM agents.

I prioritize business metrics over model metrics, combining exploratory analysis, feature engineering, and rigorous experimentation to produce solutions that move company KPIs.

My work includes shipping production recommender systems that increased click-through by ~20%, building computer vision solutions with 89–99.9% accuracy, and automating ML pipelines to reduce model update cycles by 40–50%.

I also introduced ML tooling and data culture at organizations, implemented ETL and MLOps practices (MLflow, DVC, Airflow, CI/CD), and trained stakeholders to embed data-driven decision making.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist / Data Analyst

Current

DocsInBox

Dec 2023 - Present (2 years 3 months)

Introduced ML and analytics capabilities, implemented ETL pipelines, and embedded a data-driven culture; built user/revenue churn models and a fuzzy-matching product-name standardization that reduced manual mapping effort.

Python SQL ETL Churn Modeling Fuzzy Matching Airflow Data Cleaning

Machine Learning Engineer

Data Monsters

Oct 2022 - Jun 2023 (8 months)

Benchmarked computer vision models on commercial processors to inform deployment decisions and developed an automated ML system for document security audits, reducing manual effort.

Computer Vision Benchmarking Python Deployment Automation Docker CI CD Performance Profiling

Machine Learning Engineer

Yarus

Sep 2021 - Oct 2022 (1 year 1 month)

Built recommender systems for personalized news feeds that increased click-through by ~20% and trained deep learning models for content filtering and ranking while introducing MLflow and DVC for experiment tracking.

Recommender Systems Deep Learning PyTorch MLFlow DVC A B Testing Model Evaluation Ranking

Data Scientist

Heineken

Jan 2021 - Sep 2021 (8 months)

Developed algorithms to optimize merchandising operations reducing costs by 5–10% and built an MVP to minimize low-quality beer production using predictive features and data collection.

predictive modeling Time Series Analysis Data Collection Optimization Python A B Testing

Data Scientist / ML Engineer

Kinoplan

Sep 2019 - Jan 2021 (1 year 4 months)

Developed a computer vision system detecting people, belongings, and empty seats with 89–99.9% accuracy, integrated models with apps/POS, and automated ML pipelines to reduce model update cycles by 40–50%.

Computer Vision Object Detection Python Docker POS Integration