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Hi there 👋

I am a machine learning researcher with 4+ years of industrial experience. I work in the area of machine learning, data mining, analytics, and visualization. Areas of my expertise include software development, systems engineering, data science and machine learning research. I am proficient with large-scale data processing frameworks (Spark, Hadoop), graph databases (Neo4J), data visualization tools (D3, Gephi), and machine learning frameworks and libraries (TensorFlow, PyTorch, Sklearn).

Right now, I am writing my PhD thesis on data mining and pattern detection algorithms for large-scale dynamic networks.

Take a look at some of my projects and tutorials on my blog.


  1. Anomaly detection in time-series networks. Spatio-temporal Anomaly Detection

    Jupyter Notebook 1

  2. Studying collective memories of internet users using Wikipedia viewership statistics

    Jupyter Notebook 11 3

  3. Sample of a Spark Scala project in Intellij Idea

    Scala 8 5

  4. MyBinder workshop

    Jupyter Notebook

  5. Clustering 20news dataset using graphs and Hebbian Learning

    Scala 1

192 contributions in the last year

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Contribution activity

October 1, 2020

mizvol has no activity yet for this period.

July 2020

Created an issue in epfl-lts2/sparkwiki that received 1 comment

Compatibility with Neo4J 4.0+

Update the documentation and Neo4J import script to be compatible with Neo4J 4.0+ requirements. Package versions from 2.4.0-M6 to 2.4.5-M1 Support…

1 comment

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