Krystian Korzec
@krystiankorzec
I build predictive models, pricing systems, and data pipelines that improve revenue and operational efficiency.
What I'm looking for
At Allegro, I develop pricing machine learning models that optimize product price reductions and affect revenue and sales volume, while implementing predictive routing for call-center contact allocation.
Previously, I built data-intensive applications and pipelines at Allianz Group, recommendation engines at Nowa Era, and house-price prediction models and dashboards at PKO Bank Polski. I work across Python, R, SQL, cloud data platforms, and machine learning, with particular interest in statistical learning, predictive modeling, boosting, and bagging.
Experience
Work history, roles, and key accomplishments
Developing pricing Machine Learning models to optimize and
select products for price reductions, directly impacting revenue and sales volume. - Implement-
ing Predictive Routing models to optimize the allocation of contacts to the call center, improving
operational efficiency. - Tech Stack: Python, GCP, BigQuery, GitHub, Airflow.
Developed and maintained data-intensive applications and
pipelines using Python (PySpark, Pandas, Dash, Flask). - Utilized Amazon EMR Studio to per-
form large-scale data engineering and processing tasks.
Building data pipelines in R. Tech stack: R, Git, SQL, docker, snowflake, AWS. Most recently I’ve been working on recommendation engine.
Building predictive model of house prices using machine learning algorithms. Creating data dashboards.
Worked as Data Scientist Intern at PKO Bank Polski.
Praca nad projektowaniem i wdrożeniem nowego systemu Business Intelligence.
Education
Degrees, certifications, and relevant coursework
Szkoła Główna Handlowa w Warszawie
Magister (Mgr), Metody Ilościowe w Ekonomii i Systemy Informacyjne
2015 - 2017
SGH Warsaw School of Economics
Licencjat (Lic.), Metody Ilościowe w Ekonomii i Systemy Informacyjne
2011 - 2014
Availability
Location
Authorized to work in
Job categories
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