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Portfolio - partial non-proprietary repository

Only non-proprietary projects and helper code used to implement these projects including:

NLP

(Python)

  • Word embeddings including contextual embeddings

  • Natural language understanding and word sense disambiguation

  • Sentiment classifier for customer reviews

  • Custom part-of-speech tagger

  • Text classification solutions using Word2vec, sci-Kit learn, Metapy and a number of other tools

  • Document similarity solution for a large collection of documents to search for duplicates, near-duplicates, and versions of documents

  • Batchers sending multiple REST API calls to a text mining engine (to test a document classification model, extract key words from text, parse log files)

  • Comprehensive customer review analysis consisting of 7 distinct steps from topic modeling to a web app

  • Information extraction from a large AWS public dataset of material safety data sheets for subsequent use in industrial safety recommendations

  • Apache storm topologies for NLP

  • Topic modeling

Machine Learning

(Python and R):

  • Image Classification and Analysis Including Denoising and Segmentation Using A Number of Different Tools (several projects)

  • Linear and Logistic Regressions

Cloud Technologies

(Python and Java):

  • Hadoop MapReduce

  • Apache Spark MLlib and Giraph

Data Mining

(Python)

  • Implementation of Several Data Mining Algorithms

Visualization

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  • Jupyter Notebook 69.4%
  • Rich Text Format 20.6%
  • Python 4.6%
  • Java 2.3%
  • C++ 1.1%
  • R 0.8%
  • Other 1.2%