Bence Mélykúti, Mathematical Modeling Developer in Freiburg, Baden-Württemberg, Germany
Bence Mélykúti

Mathematical Modeling Developer in Freiburg, Baden-Württemberg, Germany

Member since May 26, 2020
Bence is a data science, machine learning, and statistics expert, with ten years of experience in applied mathematics and probability theory (Ph.D. from Oxford and internationally acclaimed research). He specializes in data analysis, AI and geoinformatics, and non-standard/hard problems requiring mathematical modeling and algorithm development. His highlight projects include quality assessment of satellite imagery and the audit and improvement of a search advertising bid optimization platform.
Bence is now available for hire

Portfolio

  • Freelance
    Pandas, Marketing Analytics, Ad Optimization, Optimization, Modeling, Linux...
  • Freelance
    Pandas, GDAL, OSGeo, Overpass, GDAL/OGR, Overpass Query Language, GeoPandas...
  • University of Freiburg (Germany)
    Time Series Analysis, Time Series, LaTeX, Probability Theory, Modeling, Linux...

Experience

Location

Freiburg, Baden-Württemberg, Germany

Availability

Full-time

Preferred Environment

TensorFlow, SQL, Pandas, GDAL, OSGeo, Overpass, GeoPandas, LaTeX, Linux, PySpark, Apache Spark, Google Cloud Platform (GCP), Docker, Shapely, Python 3, Python, Scikit-learn, Beautiful Soup, Mathematica, MATLAB, Git, PostgreSQL, XGBoost, Keras

The most amazing...

...project was consulting for a startup with a founder who is a bioinformatics professor; his high standards pushed me to justify every design decision.

Employment

  • Data Scientist

    2020 - PRESENT
    Freelance
    • Audited the back-end algorithms and underpinning model of a search advertising optimization provider which serves online retailers.
    • Proposed a new element that represents a novel methodology that has been included in their development plan.
    • Developed and delivered for production a machine learning solution that predicts visitor purchasing behavior on the retailer's site.
    Technologies: Pandas, Marketing Analytics, Ad Optimization, Optimization, Modeling, Linux, Docker, Python 3, Python, Scikit-learn, Mathematical Modeling, XGBoost
  • Data Scientist

    2019 - 2020
    Freelance
    • Contributed ideas and research, developed a self-contained methodology, and wrote a Python program for image quality assessment for Sentinel-2 multispectral satellite imagery, to be a part of a secure data hosting service for Hungarian authorities.
    • Processed 4,000 GB of historical image data on a multicore Google Cloud virtual machine to collect historical data to which to compare the assessed products.
    • Packaged the program in a Docker container and earned praise for the product being compact and easy to operate.
    • Used GDAL with geographic raster images. Referenced different coordinate systems, found details in images by their coordinates, and opened only parts of large image files. Integrated intelligent cloud and snow detection.
    • Learned the fundamental physics and principles of interferometric synthetic-aperture radars (radar satellites) in nine days. Owing to my instructions, my project manager discovered that one of his expert advisors is an authority on the question.
    Technologies: Pandas, GDAL, OSGeo, Overpass, GDAL/OGR, Overpass Query Language, GeoPandas, Modeling, Linux, PySpark, Apache Spark, Google Cloud Platform (GCP), Docker, Shapely, GIS, Python 3, Python, Mathematical Modeling
  • Postdoctoral Research Fellow

    2012 - 2017
    University of Freiburg (Germany)
    • Acquired research funding from the prestigious Alexander von Humboldt Foundation and the AXA Research Fund with my research proposals, demonstrating independent and creative thinking at the forefront of human knowledge.
    • Managed the project independently, including research and problem-solving, budget planning, financial reporting, and dissemination of results in publications and at conferences.
    • Solved both practically motivated and theoretical problems which resulted in two publications in international scientific journals.
    • Developed a novel statistical method for the assessment of cross-contamination in digital PCR experiments in cutting-edge lab-on-a-chip devices. Implemented the algorithm in Matlab with a student he supervised. Released the software on GitHub.
    Technologies: Time Series Analysis, Time Series, LaTeX, Probability Theory, Modeling, Linux, Mathematical Modeling, Mathematica, MATLAB
  • Postdoctoral Researcher

    2010 - 2011
    University of California Santa Barbara (UCSB)
    • Worked at the department of mechanical engineering under the supervision of two renowned control engineers, Profs. Mustafa Khammash and Joao Hespanha, demonstrating the versatility and ability to learn quickly.
    • Researched stochastic models of biochemical reaction systems.
    • Published my results in a prestigious scientific journal, the Journal of The Royal Society Interface, and the paper has achieved over 30 citations.
    Technologies: Time Series Analysis, Time Series, LaTeX, Probability Theory, Modeling, Linux, Mathematical Modeling, MATLAB

Experience

  • Quality Assessment for Optical and Radar Satellite Imagery (Development)

    I contributed ideas and research, developed a self-contained methodology, and wrote a Python program that uses OsGeo (GDAL, OGR) for image quality assessment of Sentinel-2 multispectral satellite imagery, to be a part of a secure data hosting service for Hungarian authorities.
    I proposed to use tropospheric water content and ionospheric activity to forecast the quality of Sentinel-1 interferometric synthetic-aperture radar images. My guidance led my project manager to obtain an offer from the leading Hungarian expert on the subject.

Skills

  • Languages

    Python, Python 3, SQL
  • Libraries/APIs

    Pandas, GDAL/OGR, TensorFlow, Scikit-learn, XGBoost, Keras, Shapely, PySpark, Beautiful Soup, GDAL
  • Paradigms

    Data Science
  • Other

    Optimization, Mathematical Modeling, Discrete Mathematics, Dynamic Analysis, Machine Learning, Artificial Intelligence (AI), Artificial Neural Networks (ANN), Probability Theory, Stochastic Modeling, Stochastic Differential Equations, Data Analysis, Complex Data Analysis, Analytics, Modeling, Statistics, Bayesian Statistics, Data Analyst, Data Analytics, Algorithms, GeoPandas, Overpass Query Language, Ad Optimization, Data Visualization, Time Series, Time Series Analysis, Investing, Big Data, TkInter, PDAL, Marketing Analytics, Overpass, Google BigQuery
  • Tools

    LaTeX, MATLAB, GIS, Jupyter, Git, OSGeo, Mathematica, BigQuery
  • Platforms

    Jupyter Notebook, Docker, Google Cloud Platform (GCP), Linux
  • Frameworks

    Apache Spark
  • Storage

    PostgreSQL

Education

  • Ph.D. in Department of Statistics
    2006 - 2011
    University of Oxford - Oxford, UK
  • Master of Science degree in Mathematics
    2001 - 2006
    Eötvös Loránd University (ELTE) - Budapest, Hungary

Certifications

  • Data Engineering on Google Cloud Platform, a 5-course Specialization by Google Cloud on Coursera
    MAY 2018 - PRESENT
    Coursera

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