Maryana Antipova

Angestellt, Fraud Analyst, Fraugster

Berlin, Deutschland

Fähigkeiten und Kenntnisse

Onsite Optimization
A/B testing/Experiments
Onsite campaigns optimisation
Programmatic catalog sorting
Product Management
Campaign analytics
Onsite analytics
Funnel optimisation
Up-Selling
Cross-Selling
Basic JS html css
Dynamic Yield platform
Looker
Empirical analysis
Stata
Microeconometrics/Econometrics
Political Economy
Development Economics
Economic Growth

Werdegang

Berufserfahrung von Maryana Antipova

  • Bis heute 5 Jahre und 9 Monate, seit Okt. 2018

    Fraud Analyst

    Fraugster
  • 4 Monate, Juli 2017 - Okt. 2017

    Senior Conversion Rate Optimisation Manager

    JUNIQE
  • 1 Jahr und 2 Monate, Juni 2016 - Juli 2017

    Conversion Specialist

    JUNIQE
  • 3 Monate, Apr. 2016 - Juni 2016

    Contractor for Online Marketing, Cohort Acquisition

    Wayfair
  • 3 Jahre und 4 Monate, Jan. 2013 - Apr. 2016

    Research Assistant (wissenschaftliche Hilfskraft)

    Dept. of International Economic Policy, University of Freiburg, Germany

    • Participating in research projects • Collecting and preparing data in STATA • Analyzing data in STATA • Conducting literature reviews • Correcting texts and tables in LaTeX • Proofreading materials for publication • Preparing presentations (e.g. lecture slides) • Updating webpage and online research database • Providing other administrative assistance

Ausbildung von Maryana Antipova

  • 3 Jahre, Okt. 2011 - Sep. 2014

    Economics

    University of Freiburg, Germany

    Language of instruction: English; GPA: 1.3 (out of 5 and 1.0 is the best); Master Thesis (graded 1.0): The fundamental determinants of economic development: A critical empirical investigation

  • 5 Jahre, Sep. 2006 - Aug. 2011

    Economics

    National Research University - Higher School of Economics, Moscow, Russia

    GPA: 4.5 (out of 5 and 5 is the best); Bachelor Thesis (graded 5): Capital Structure Determinants of Privately Held and Publicly Held Corporations: Comparative Analysis of Russian Evidence

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Gut

  • Russisch

    Muttersprache

  • Französisch

    Grundlagen

Interessen

Politics
E-commerce
Onsite personalisation
Start-ups

21 Mio. XING Mitglieder, von A bis Z