Technology Skillset

Data Science/Machine Learning Stack: SciKit learn, Pandas, NumPy, Tensor Flow, MATLAB, Spark MLlib, WEKA, PyTorch -2 years
Micro-Services,Spring Boot - 3 years
Big Data , Hadoop, Spark, Spark Mllib - 2 years
Advanced Java-J2EE - 13 years
Mix of UI Technologies like AngularJS, GWT, JQuery, BackboneJS , Javascript, HTML5-CSS3 - 13 years
Oracle - 13 years
Spring Framework - 10 years
Web Services - 8 years
Service Oriented Architectures -8 years
Software Architecture - 6 years
Dev-Ops - 4 years
Python - 3 years
ElasticSearch - 2 years
MongoDB - 3 years

Technology Familiarity over the years (by category):

· Programming Languages: Java/J2EE, Python, PL/SQL

· Data Science: SciKit learn, Pandas, NumPy, PyTorch, Tensor Flow, MATLAB, Spark MLlib, OpenCV, NLTK, WEKA,

· Database: MongoDB, Sybase, IBM DB2 V8, Oracle 11g, MySQL

· Web/ App. Servers: Nginx, WebLogic, WebSphere, Apache Tomcat

· Front-End: AngularJS, GWT, GXT, jQuery, Backbone JS, JavaScript, JSP

· Messaging: IBM MQ Series, JMS, Web-sockets, Push Notifications

· Frameworks: Web Services (SOAP and Rest), Spring, Spring Boot, Hibernate, Open JPA

· Big Data: Apache Spark, Apache Hadoop 2.x, Elastic search (ELK stack)

· CI/CD/DevOps: AWS, Docker, Nexus, Jenkins, SonarQube, Team City, UDeploy, Maven, GIT, JIRA, Maven

· ML stack: Classification, Regression, PCA, Cross Validation, Hyperparameter Tuning, Deep Learning, RNN, CNN, LSTM, PyTorch, OpenCV, NLTK

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