01

About me

Proactive and resourceful Data Scientist fighting and preventing fraud in Microsoft products. Always eager to utilise my technical knowledge and skills to deliver actionable insights and translate them into concrete business initiatives.

02

My
Experience

• January 2022 - Present

  Microsoft

  Data Scientist (IC3 Fraud)

  • Analyse data to identify new fraud- and spam-related patterns in Skype, Teams and Azure Communications Services
  • Review existing as well as create new automated rules in SQL & Python to catch fraud and spam in Microsoft Communications Services
  • Maintain existing as well as create new ML models to catch and effectively prevent fraud and spam in Skype, Teams and Azure Communications Services
  • Collaborate closely with the product managers & engineers to deliver impactful and customer-oriented solutions
  • Provide monthly on-call product support to mitigate emergent high-impact fraud- and spam-related incidents

• April 2021 - December 2021

  Luminor Group

  Junior Data Analyst (Risk Data & Analytics Department)

  • Collected and prepared data for reports and ad-hoc requests
  • Automated data collection and processing by writing SQL queries and creating workflows in KNIME
  • Tested data and troubleshooted data quality issues in Luminor's information systems
  • Created detailed process documentation guidelines for data extraction and processing

• May 2018 - July 2019

  Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH

  Junior Technical Professional

  • Translated complex concepts and data into compelling visuals for internal and external outreach
  • Designed more than 10 comprehensive infographics and presentations (e.g., timelines, process flow diagrams,hierarchy charts)
  • Discovered and collected requirements for data visualisations with a focus on stakeholders' goals and needs

• September 2017 - May 2018

  Schwarzkopf-Stiftung Junges Europa

  Project Coordinator 'Understanding Europe'

  • Set personalised key targets and measured performance of 10 team members
  • Tailored training content to the learners based on A/B Testing
  • Developed and implemented strict stakeholder management strategies to ensure successful projectdeliveries
  • Reported monthly on the project activities to themanagement team and external stakeholders

03

My
Education

• September 2019 - June 2021

  Tallinn University of Technology (TalTech)

  e-Governance Services and Technologies - Master's Degree With Honours

  • GPA: 5.0
  • Master's thesis: Evaluation of Facial Emotion Recognition Models for the Potential Deployment in Web-Based Learning Environments.
    The thesis is a winner in the category “Information Society” at the TalTech IT Innovation Festival 2021. The work also received special recognition and reward from IT company Nortal.

• July 2020 - Present

  DataQuest

  Data Science in Python

  • Data Analysis: NumPy, Pandas
  • Data Visualisation: Matplotlib, Seaborn & Plotly
  • Data Mining
  • Database: SQLite
  • Machine Learning: Scikit-learn, Keras & Tensorflow

• October 2019 - June 2020

  Logos IT Academy

  Web Development

  • Web Technologies: CSS, HTML, JavaScript, jQuery, Bootstrap
  • Java Core: OOPs, Design Patterns, Interface, Spring
  • Database: MySQL
  • Version Control: Git

• September 2015 - June 2019

  Ivan Franko National University of Lviv

  International Business - Bachelor's Degree with Honours

  • GPA: 4.9
  • Bachelor's thesis: Marketing Campaigns of Transnational Corporations

04

My
Projects

05

Contact Me