Expertise

Skills

Published:

Jay has expertise in Machine Learning, Deep Learning, Natural Language Processing, Statistical Learning and Process Mining

  • Statistical Learning: Distributions,Inferential Statistics, Data Exploration, Regression Analysis, Variable selection, ANOVA, Logistic Regression,Discriminant Analysis
  • Machine Learning: Pattern Mining,PCA,K-Means,density based Clustering,t-SNE,Naïve Bayes, KNN, Boosted Tree Models, SVM, Kernel methods, Ensemble Learning ,Regularization, Cross Validation , Variable and Model selection
  • Natural Language Processing: Sentiment Analysis,Topic Modelling,Text Classification,Transformer models,Named Entity Recognition, Language models,Procedure extraction,Knowledge graphs
  • Deep Learning : RNN,LSTM,GAN,VAE,Siamese Networks
  • Process Mining : Log analysis,FuzzyMiner,Heuristic Miner,performance monitoring

Tools

Published:

Jay uses several tools for developing AI solutions. He has experience with the following

  • Object oriented programming ,Data strcutures and Algorithms
  • Python : Collections,itertools,NumPy,Pandas,Scikit Learn,pysprak,pytorch,pm4py,networkx,NLTK,gensim,Spacy,
  • RDBMS,SQL,MongoDB,Elastic Search,Kibana
  • Devops : docker,openshift,FastAPI
  • Experience in web-scraping and worked with several APIs such as NYtimes,twitter etc., to extract data
  • Basics of R:Caret,h2o,ggplot2,dplyr