Technology Skillset
Relevant Technology Experience in Years
- 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