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Hi Stranger 👋

I am a machine learning and AI research scientist with 4+ years of industrial software engineering experience. I work in the area of machine learning, data mining, analytics, and visualization. Areas of my expertise include software development, systems engineering, machine learning and AI 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).

In December 2020, I have defended my PhD thesis on data mining and pattern detection algorithms for large-scale dynamic networks. The thesis covers such topics as graph machine learning, attention mechanisms in neural networks, anomaly detection in dynamic networks, knowledge graphs, and applications to social network analysis and collective behavior.

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 8 1

  2. WikiBrain Public

    Studying collective memories of internet users using Wikipedia viewership statistics

    Jupyter Notebook 19 5

  3. SparkTest Public

    Sample of a Spark Scala project in Intellij Idea

    Scala 7 10

  4. MyBinder workshop

    Jupyter Notebook 1

  5. Clustering 20news dataset using graphs and Hebbian Learning

    Scala 1 1

18 contributions in the last year

May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Mon Wed Fri

Contribution activity

May 2022

10 contributions in private repositories May 27

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