Wioletta Stobieniecka

Analytical Consultant, SAS

Data Scientist with over 6 years of experience, an open mind and a deep passion for solving real-world problems using advanced statistical and machine learning tools. Expert in statistical learning methods theory and practice. Analyst with extensive experience in fraud analytics with major focus on building predictive models for such sectors as banking, insurance, telco and public. For almost two years engaged in computer vision related projects applying both classical and deep learning techniques. Boasts exposure to both open source and commercial software (Python, SAS, R, Oracle). Currently immersed in a deep dive into healthcare.