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Working from home
  • Based in the EU

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DataSperling/README.md

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Interests:

  • Intersection of traditional software development (Java, Spring, REST, SQL) and data science (Python, R, Scala, Spark, CNN)
  • Application of these technologies to scientific problems.

Current Projects:

  • soundable: Client server application which integrates machine learning to identify real-world audio samples.
  • soundable-ML: CNN pipeline to develop AI models for audio recognition suitable for integration into REST-API's.
  • soundable-FX: JavaFX client for preprocessing audio data for efficient onward transmission.
  • soundable-API: REST API to serve, store and search data for soundable-FX client.

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  1. audio-processing-api audio-processing-api Public

    Establishing OAuth2 and serialization testing strategy for upcoming ML-API

    Java

  2. soundable-EDA soundable-EDA Public

    Soundable-EDA is an exploratory data analysis pipeline for deconvolution of audio samples as a precursor to feature extracting with supervised machine larning.

    Jupyter Notebook

  3. soundable-ML soundable-ML Public

    ML-pipeline for audio analysis combining mel-type deconvolution with hierarchical CNN

    Python