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Hi Stranger 👋

I am a machine learning and AI research scientist with 5+ 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.

Volodymyr Miz's Projects

anomaly-detection icon anomaly-detection

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

d3-visualising-data icon d3-visualising-data

Lesson plans for teaching the basics of HTML, CSS, SVG, JSON, and JS (primarily D3.js), in order to create browser-based data visualisations.

datavizta_week6 icon datavizta_week6

Data visualization course TA. Colorspaces, brushes, and histograms. Solution.

deeplearning4j icon deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop, Spark & GPUs

echotorch icon echotorch

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

fixed-nav icon fixed-nav

Responsive, fixed and touch friendly one page navigation with animated scrolling.

gephi-test icon gephi-test

Test repository for hosting Gephi-Sigma-generated graph

gephi-tutorials icon gephi-tutorials

Gephi tutorials for data visualisation lecture. A Network Tour of Data Science 2019 Fall semester

graphexp icon graphexp

Interactive visualization of the Gremlin graph database with D3.js

imi-nets icon imi-nets

IMI project. Fake news. Network perspective from LTS2

indigo icon indigo

:ramen: Minimalist Jekyll Template

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