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.