Curriculum Vitae

Education

• Ph.D., Informatics — Technische Universität Berlin & HEIBRiDS graduate school, Berlin, Germany (2018 – 2023)
  • Dissertation: Assisted Design of End-to-End Data Science Pipelines
  • Topics: end-to-end management of data science processes, research reproducibility
• M.Sc., Data Science — University of Skövde, Sweden (2016 – 2018)
  • 120 ECTS, GPA 3.25/4.00
  • Visby Programme scholarship holder (Swedish Institute)
  • Global Swede 2018, awarded by the Swedish Ministry of Foreign Affairs
  • Thesis: Finding Early Signals of Emerging Trends in Text through Topic Modeling and Anomaly Detection
• B.Sc., Information Systems and Technologies — National Research Nuclear University MEPhI, Moscow, Russia (2012 – 2016)
  • 240 ECTS, GPA 3.74/4.00
  • Thesis: Sequential Traversing Method for Generalized Search Trees with Concurrent Access for the PostgreSQL DBMS

Research experience

• Senior Researcher (Postdoc) — Data Science and its Applications (DSA), German Research Center for Artificial Intelligence (DFKI), Kaiserslautern
  • Intelligent discovery assistants for the design of data science pipelines
  • Reproducibility and end-to-end management of data science processes
• Research Associate — Database Systems and Information Management Group (DIMA), TU Berlin
  • Research reproducibility and end-to-end management of data science processes
  • Data management; experimentation in software engineering
• Research Assistant — University of Skövde, Sweden (Aug 2017 – May 2018)
  • DataFlow (VINNOVA): exploratory data analysis and production-line simulation for decision support in the metal industry
  • DREAM (EU FP7, grant #611391): automated annotation and deep-learning facial-expression classification for robot-enhanced therapy

Research interests

• End-to-end management of data science processes
• Research reproducibility
• Automation in data science
• Interpretability in machine learning

Industrial experience

• Summer Intern — SAP Labs, Moscow, Russia (Jul – Aug 2015)
  • Application design in precision agriculture; data retrieval, analysis and visualization on the SAP HANA Cloud Platform

Skills

• Languages: Python, Scala, PL/pgSQL, Ruby, Java, C/C++
• ML tooling: scikit-learn, Keras, NumPy, pandas
• Big data: Apache Spark
• Databases: PostgreSQL, MongoDB, Oracle

Service and leadership

• Chairperson — NFGL Local Network Skövde (Oct 2016 – Jun 2018): financial management, communications, and event management around interdisciplinary data science and sustainable development