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Mojmir Vinkler

Mojmir Vinkler

Brno, South Moravian Region, Czech Republic
Member since April 17, 2014
Mojmir is a full-stack data scientist with strong development skills, allowing him to handle model design, data collection, and final implementation of software. He has a strong background in statistics, machine learning, business, computer science, and predictive modeling of big data sets.
Mojmir is now available for hire
  • Python, 7 years
  • Machine Learning (ML), 5 years
  • Data Mining, 5 years
  • Deep Learning, 4 years
  • IPython Notebook, 4 years
  • Apache Spark, 3 years
  • Pandas, 2 years
Brno, South Moravian Region, Czech Republic
Preferred Environment
macOS, Sublime Text, iPython Notebook, GitHub
The most amazing...
...thing I've ever built is an optimal product pricing algorithm based on an idea from multi-armed bandits that successfully increased revenues by a third.
  • Python Programmer, Data Scientist
    2014 - PRESENT
    • Processed huge amounts of data using Spark.
    • Created & optimized scikit-learn models.
    • Built an ETL application with Luigi and Flask.
    • Created surveys on Mechanical Turk.
    • Integrated R and Python code.
    Technologies: Python, Spark, Flask, scikit-learn
  • Pattern Analysis / Data Matching System Engineer
    flexcode (via Toptal)
    2014 - 2015
    • Created an algorithm for predicting correct matches using text analytics and image processing plus web UI for data collection.
    Technologies: Python, scikit-learn, Flask, Google App Engine
  • Data Scientist
    2013 - 2015
    • Handled ETL processing in Python with Pandas.
    • Designed and implemented optimal product pricing algorithms.
    • Designed a Customer Lifetime Value (CLV) model.
    • Monitored AdWords (automated alerts) and bidding based on CLV.
    • Engaged in smart business reporting based on statistical models and machine learning.
    Technologies: Python, MySQL, R, Pandas
  • Web Developer
    2011 - 2013
    • Created an XML parser for parsing invalid XML files (product feeds for price comparison sites).
    • Developed web back-ends.
    • Designed and implemented functionality for bidding on price comparison sites.
    • Built data connectors to and
    • Handled minor front-end work with JavaScript.
    Technologies: Python, PHP, JavaScript, MongoDB, Redis
  • Universal Portfolios (Development)

    Plenty of online portfolio selection algorithms (financial engineering) and tools for analysis developed as part of my master thesis (available in Czech at

  • Languages
    Python, R, JavaScript, Haskell
  • Frameworks
    Apache Spark, Flask, GAE, Django
  • Libraries/APIs
    Matplotlib, Pandas, SciPy, NumPy, PyMC, Scikit-learn, PyQt, AdWords API
  • Tools
    StatsModels, IPython, Sublime Text 2, IPython Notebook, MATLAB
  • Storage
    HDFS, MySQL, Google Cloud, PostgreSQL, MongoDB, Redis
  • Other
    Machine Learning (ML), Business Intelligence (BI), Financial Engineering, Bayesian statistics, Data Analysis, Data Visualization, Statistics, Data Mining, Deep Learning
  • Paradigms
    Kanban, Functional Programming, Scrum
  • Platforms
  • PhD degree in Biomedical Image Processing
    Masaryk University - Czech Republic
    2014 - 2017
  • Master's (MBA) degree in Business Administration
    City University of Seattle - Seattle
    2012 - 2014
  • Master's degree in Statistics and Data Analysis
    Masaryk University - Czech Republic
    2009 - 2014
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