Kristina Kalbasiuk

Senior Data Scientist @People Inc.

Los Angeles, CA, US

People Inc. is the largest digital and print publisher in America, reaching nearly 200 million people each month through trusted brands such as People, Real Simple, Investopedia, and Allrecipes. The company produces high-quality, intent-driven content across categories including health, finance, lifestyle, and food. Its mission is to empower audiences to make informed decisions with reliable, engaging, and actionable content.• Led end-to-end machine learning projects by evaluating model approaches, defining quality and product metrics, and presenting insights to stakeholders.• Migrated existing ML models to AWS SageMaker to enable faster, more efficient, and scalable deployments. The migration reduced deployment costs, allowed more frequent model releases, and led to improvements in key product metrics.• Developed and periodically retrained a machine learning model for magazine recommendation, resulting in an average 12% increase in conversion rate.• Implemented a machine learning model to predict a respondent’s likelihood of purchasing magazines, effectively identifying non-magazine buyers and redirecting them to alternative offers. The model achieved 4× greater precision than the initial baseline.• Designed and analyzed A/B tests to evaluate machine learning model performance and validate their impact on key product metrics.• Created dashboards to monitor key metrics such as number of orders, CTR, and LTV, enabling stakeholders to make informed and data-driven decisions based on product performance.• Conducted interviews and onboarded new team members, supporting team growth and ensuring a seamless integration into the development process.

Belarusian State University

Bachelor's degree, Computer Mathematics and System Analysis

Otto-von-Guericke University Magdeburg

Internship, Integer Optimization

Belarusian State University

Master's degree, Computer Mathematics and System Analysis