Curriculum Vitae of Ivan Pluzhnikov

Ivan Pluzhnikov is a data scientist intern for zbMATH Open at FIZ Karlsruhe - Leibniz Institute for Information Infrastructure. He is currently a student in the Master’s programme at the University of Göttingen(Applied Data Science, GPA of 2.0). He has graduated from Moscow State University (Bachelors (2018 - 2022), Applied Mathematics and Computer science, GPA of 1.6). He has more than 1.5 years of job experience in the field of Data Science. Earlier (Jun 2022 - Oct 2022), he was a data scientist at Sberbank, Moscow, Russia where he developed predictive models for customer behaviour based on banking activities data. He is skilled in Probability Theory, SQL, Python (including Scikit-learn, Matplotlib, Light-gbm/Catboost, Automl, Numpy, Pandas, PySpark). He was a data scientist at Yandex, Moscow, Russia from September, 2021 to May, 2022. From November, 2020 to February, 2021, he worked at Tinkoff , conducted a cost-effectiveness study on customer alerts and took an active part in their optimization. He has finished 3+ ML projects. He has published an article titled “Superimposition and Antagonism in Chain Synthesis Using Entangled Biophotonic Control” in the journal “Computational Mathematics and Modeling”.

Research Interests

• Mathematical Statistics
• Probability Theory
• Python

Ivan Pluzhnikov 
FIZ Karlsruhe – Leibniz-Institut für Informationsinfrastruktur GmbH
Franklinestraβe 11
10587 Berlin

E-Mail: ivan.pluzhnikov [at] fiz-karlsruhe.de (ivan[dot]pluzhnikov[at]fiz-karlsruhe[dot]de) 
ivan.pluzhnikov [at] stud.uni-goettingen.de (ivan[dot]pluzhnikov[at]stud[dot]uni-goettingen[dot]de)