David Hanzelka

Head of Data Science at FLOWPAY
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Contact Information
Location
Prague Metropolitan Area, CZ
Languages
  • Czech Native or bilingual proficiency
  • English Professional working proficiency
  • German Elementary proficiency

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5.0

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Mirek Cerny

David is a truly professional, but also practical, data scientist. Not only that he creates valuable predictive, statistical and similar models. He brings in considerations, which others wouldn't even think of, yet they turn-out to be very important. David thinks about practical implications. David can find unique and working ways through seemingly impossible issues to tackle. I learnt a lot from him and I am always happy to cooperate.

Kostas Mouratidis

David is thoughtful to the point of being the skeptic of the group; one of the most fine qualities for a Data Scientist. His long experience was a good guide for our team at Zeta Global, and will definitely be appreciated by more newcomers as he is building and enlarging his own team.

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Credentials

  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Sep, 2017
    - Oct, 2024
  • Structuring Machine Learning Projects
    Coursera
    Sep, 2017
    - Oct, 2024
  • Neural Networks and Deep Learning
    Coursera
    Aug, 2017
    - Oct, 2024

Experience

    • Czechia
    • Embedded Software Products
    • 1 - 100 Employee
    • Head of Data Science
      • Feb 2023 - Present
    • United Arab Emirates
    • Services for Renewable Energy
    • Director, Data Science & Analytics
      • Mar 2022 - Present

    • Senior Manager, Data Science & Analytics
      • Feb 2021 - Apr 2022

    • Manager, Data Science & Analytics
      • Aug 2019 - Feb 2021

    • United Kingdom
    • Computer Games
    • 500 - 600 Employee
    • Senior Data Scientist
      • Jul 2017 - Jul 2019

      Helped product managers and directors to make the right / informed decisions to grow the business: - A/B testing methodological guidance - Players' experience/behavior analysis - Game economy analysis - Insights and recommendations on how to further grow the products and CRM activities - Incorporating the new games into the existing ETL and dashboarding infrastructure - Suggesting KPIs, level of tracking granularity, ... for "meta-game" (the new concept in PM's portfolio; piloted in a new app "Lightning Link") Suggested and built an innovative UA (user acquisitions) ROI-optimisation model. Analyzed synergies and cannibalization on a network level (among PM's apps). Technological stack: AWS Redshift, Python, R, GitHub, Tableau, Bokeh. Show less

    • Ireland
    • Entertainment Providers
    • 700 & Above Employee
    • Data Scientist
      • Jun 2015 - Jun 2017

      Designed and built machine learning models for: - Churn prediction - New and existing customers’ future value prediction - Bonus risk prediction - Online Casino recommendation engine Played a key role in a design of the new loyalty program which has been one of the main drivers of the Stars Group's recent 12% YoY revenue growth in (previously stagnating) Poker vertical (see The Stars Group's (TSG) CEO Rafi Ashkenazi on Q1 2018 Results - Earnings Call Transcript, page 2; https://seekingalpha.com/article/4172499-stars-groups-tsg-ceo-rafi-ashkenazi-q1-2018-results-earnings-call-transcript?page=2) - Sportsbook customer value segmentation - Overall player value calculation - A/B testing of Poker, Sportsbook and Casino CRM campaigns - Analytically helped with the launch of the new Sportsbook vertical and migration of Full Tilt customers to PokerStars platform Technological stack: KNIME, R, Python, MS SQL Server Show less

    • United States
    • Technology, Information and Internet
    • 700 & Above Employee
    • Senior Business Analyst
      • Feb 2012 - Apr 2015

      - Demand / inventory / sales / conversion, buyer behavior and web analytics - Forecasting (trends, budgeting) - Seller concentration, inventory planning - Background papers for acquisition pitches - Providing EU Merchant Development leadership team with high-level reporting and insights - Designed and implemented an innovative tool for revealing inventory gaps helping business development managers to identify relevant brands and/or products, missing on eBay - Teradata, Tableau, Excel, VBA, SAS, R Show less

    • Data Mining Specialist
      • Apr 2010 - Jan 2012

      - Designed, implemented & maintained 15+ churn, up- and x-sell predictive models (related to various groups of customers, products and services) and behavioral segmentations (Mobile data users segmentation, Prepaid churners segmentation, Microsegmentation) which helped marketing and customer care teams to target their efforts more precisely, particularly during 3G network launch in the Czech Republic - Responsible for DM datamart "up & running" - Provided Strategy&Planning, Marketing and Customer Care teams with insights - Internally "evangelized" data mining - Oracle DWH, SPSS Clementine / PASW Modeler, SPSS Statistics Show less

    • United States
    • Security and Investigations
    • Lecturer (weekend courses)
      • Nov 2004 - Aug 2010

      - Taught logic and general study background (verbal, analytical and quantitative tasks) in facultative weekend courses, serving as preparation for entrance exams to Czech Universities. - Taught logic and general study background (verbal, analytical and quantitative tasks) in facultative weekend courses, serving as preparation for entrance exams to Czech Universities.

    • Finland
    • Information Technology & Services
    • 700 & Above Employee
    • Business Intelligence Specialist
      • Jul 2008 - Mar 2010

      - Pilot data mining (DM) project for large Scandinavian telecommunications company: Claim handling / Fraud detection / Decision process automation- Elaborated offerings / DM project proposals for telecommunications, energy, retail- Co-provided an internal DM training- Participation in BI services (ETL, reporting, incident management due to ITIL) for another large Scandinavian telecommunications company- Design and implementation of several VBA macros, automatically collecting data from multiple Word and Excel documents and processing it- Business Objects, QlikView, MS SQL server, R Show less

    • Programmer / Analyst
      • Nov 2005 - Jun 2008

      - Development and maintenance of large ERP system for paper industry called "TIPS" (with customers like UPM and StoraEnso)- Multinational working environment, global delivery model, daily use of English- C++ (MS Visual Studio), Oracle, SQL, PL/SQL

Education

  • Ostravská univerzita v Ostravě
    Doctor of Philosophy (Ph.D.), Computer Science
    2003 - 2008
  • Ostravská univerzita v Ostravě
    Master's Degree, Computer Science
    1998 - 2003
  • Technische Universität Graz
    Computer Science
    2000 - 2000
  • Gymnasium Nový Jičín

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