To develop and apply my Data Analytics skill set in a workplace environment that allows my interpersonal and technical skills to explicitly add value to the organization and, where appropriate, the clients with whom we collaborate. Strong technical understanding with Research-Development and Project experience in Data Analytics, Testing and Cloud Computing. EDUCATION: March 2016 – October 2017 Master of Data Analytics Deakin University Specialization: Data Analytics September 2007 – May 2011 Bachelor of Technology RTU Specialization: Computer Science EXPERIENCE: February 2017 Big Data Analytics Internship VIT Chennai Health Care Analytics using Various data analysis techniques and tools like Python, Spark, Hadoop and participated in Kaggle Competition.
April 2012 – February 2016 Test Engineer Fiserv India Pvt Ltd • Understanding Business and Functional Requirement. • Involved in execution of functional test cases • Review and analyse manual test cases. • Involved in peer review of test result document • Involved in peer review of test result document. • Involved in extracting scenarios for Automation testing. • Extensively use Quality Centre and bug tracking. • Execute many Ad hoc scenarios for testing application and Business Logics • Analysing the Business operational requirements, finding appropriate Solution to problems and analysing effective business solution to those requirements. • Direct communication with onshore BA team for query resolution related to business logics and technical related queries. • Defects were tracked, reviewed analysed and compared by using Quality centre. • Provide daily Status update to the team coordinator. • Test Script Modification according to changes in new build
ACADEMIC PROJECTS: March 2017 – June 2017 Log File Analysis Exploratory data analysis on provided one year web-server access log data. This has been accomplished using various analytical packages in Python Spark. Amazon S3 is used as a cloud storage platform for handling log data. August 2016 – September 2016 Data Analytics Project (Predictive Analytics) Prediction of House Price and interest towards auctioned properties in Melbourne using records of properties sold during 2005-2015. Built prediction models using Linear Regression, Logistic Regression, Decision Tree, Random Forest, Gradient Boosting Algorithms. Ensemble model was also built using SAS Enterprise Miner. TECHNICAL SKILLS: Data analytics tools : WEKA, R Studio, Rapid Miner, SAS, Spark, BI Watson Analytics, Tableau, Power BI Automation Tools : QTP, Silenium, HP Quality Centre. Programming Languages : Java, R, Python, VB scripting. Web Technologies : HTML5, MySQL, NOSQL, MangoDB, SQL. Big Data Analytics : Hadoop, HIVE, PIG, Scoop, Mapper and Reducer. Basic Tools : Microsoft Office, Internet, email and calendar arrangement. KEY SKILLS: • Driven to learn and perform • Accomplished communicator • Team player with multi-tasking • Cultural fit and Positive attitude
CERTIFICATIONS: Testing: • ISTQB Foundation level • ISTQB Advance intermediate level Data Analytics: • Hadoop big data excellence certificate from EDU pristine • Watson Analytics 101 Domain Level: • CUES • Banking 101 • Testing 101
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