Valdas Šukevičius

Head of Data Science at Multitude
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Contact Information
us****@****om
(386) 825-5501
Location
Lithuania, LT

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5.0

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Lucas Kester

Valdas is always up beat and brings great energy to those around him! He was great to work with and will miss him on my team! Valdas was part of the Digital Payments team at Western Union and focused on our bank transfer products. I've seen him grow during his time at Western Union with his leadership, communication, and analytical skills. Valdas' contributions helped build a best in class product and brought a level of detail that we had not seen before. I was also very pleased with his ability to navigation through many complex systems and team structures to get things done! I'm confident that those working with Valdas in the future will be very happy with his teamwork and contributions.

LinkedIn User

I had been working together with Valdas Sukevicius in Western Union Processing Lithuania from November 2015 till August 2016 and during this time period we were working together on multiple processes and initiatives related with Western Union Digital business. Valdas has gained valuable knowledge of risk management, payment processing, product management and developing technical tools that led to more efficient processes and allowed to have a better visibility on product and operations performance. He has been an important part of the team and was recognized several times both on team and site level. In addition, I can confirm that Valdas has been demonstrating behaviors of driven and inspired employee and was a role model for other team members. He is also able to learn new things quickly, can work independently and is able to effectively distribute tasks within the team members.

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Credentials

  • Enterprise Agile: Changing Your Culture
    LinkedIn
    Jun, 2020
    - Nov, 2024
  • DevOps for Data Scientists
    LinkedIn
    May, 2020
    - Nov, 2024
  • Agile Foundations
    LinkedIn
    Oct, 2019
    - Nov, 2024
  • Credit Scoring and Credit Control Conference XVI
    Credit Research Centre, University of Edinburgh Business School
    Aug, 2019
    - Nov, 2024
  • The Best and the Worst of Predictive Analytics: Predictive Modelling Methods and Common Data Mining Mistakes
    Data driven business
    Oct, 2017
    - Nov, 2024

Experience

    • Finland
    • Financial Services
    • 200 - 300 Employee
    • Head of Data Science
      • Jan 2019 - Present

      - Oversee predictive models’ development strategy and ensure model performance and quality tracking.- Communicate predictions and findings to management and IT departments through effective data visualizations and reports.- Oversee and coordinate allocation of resources related to data science area to ensure that assigned tasks are aligned with current strategy and accomplished in timely manner. - Communicate resources availability within data science area to relevant stakeholders.- Coordinate research activities for different areas of the business, including but not limited to marketing, credit scoring, and collections to improve business performance in aforementioned areas.- Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modelling.- Explore and examine data from a variety of angles to determine hidden weaknesses, trends and/or opportunities.- Devise data-driven solutions to the most pressing challenges.- Invent new algorithms to solve problems and build new tools to automate work.- Produce relevant documentation related to development process. Show less

    • Sr Risk and Data Analyst
      • Sep 2016 - Jan 2019

      - Analyse lending product portfolio on the credit risk perspective and sales opportunities as well as sign detection activities;- Support future risk management strategy offering relevant analysis and insights;- Scorecard development and maintenance;- Conduct projects related to data gathering and data pilots;- Document and suggest changes in policy rules and credit score strategy;- Communicate with business to understand their needs and work on their requests.

    • United States
    • Financial Services
    • 700 & Above Employee
    • Sr Digital Payments Analyst
      • Jun 2014 - Sep 2016

      Reporting, monitoring and analyzing global electronic payment performance. Researching and solving complex issues to improve customer experience and company financials. Preparing business cases and technical requirements for projects which vary from digital payments expansion with new countries or product launches to databases or technical internal/external system upgrades and integration. Moreover, working with different processors determining impact of system adjustments and curating changes accordingly. In addition, responsible for digital payments performance, thus with the help of my technical skills helping to optimize internal processes making workplace more efficient. Furthermore, performing data analysis to alleviate customer satisfaction, manage any technical issue resolutions, reduce risk and improve product performance globally. Show less

    • Outsourcing and Offshoring Consulting
    • 700 & Above Employee
    • Business Support Team member
      • Mar 2014 - Jun 2014

      Data analysis, reporting optimization, work efficiency and automation improvements. Creating reports and initial analysis of variance, verify accuracy of source and formulas, verify reports in terms of plausibility. Data analysis, reporting optimization, work efficiency and automation improvements. Creating reports and initial analysis of variance, verify accuracy of source and formulas, verify reports in terms of plausibility.

    • Sales Manager
      • Jun 2013 - Oct 2013

    • Audit Assistant
      • Jul 2012 - Feb 2013

      Improving data system, perform analytical review of Audit documents, review client accounting, operating procedures and systems of internal control, identifying and solving issues that arise. Improving data system, perform analytical review of Audit documents, review client accounting, operating procedures and systems of internal control, identifying and solving issues that arise.

    • Latvia
    • Insurance
    • 200 - 300 Employee
    • KASKO and ECA insurance specialist
      • Feb 2012 - Apr 2012

      Data analysis, preparation, interpretation and presentation. Worked on loss estimation and forecasting, pricing model review and built pricing calculator, insurance policies review and recommendations. Data analysis, preparation, interpretation and presentation. Worked on loss estimation and forecasting, pricing model review and built pricing calculator, insurance policies review and recommendations.

Education

  • Vilniaus Universitetas
    Master's degree, Financial and Actuarial mathematics
    2012 - 2014
  • Vilniaus Universitetas
    Bachelor's degree, Financial and Actuarial mathematics
    2008 - 2012
  • Tuskulenu High School
    High school diploma
    1996 - 2008

Community

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