Shilpa Behera

813-***-**** acz7fx@r.postjobfree.com Tampa, FL, 33613 https://www.linkedin.com/in/shilpabehera

SUMMARY:

3.5 Years of Professional IT experience in automation and manual software testing in agile (scrum) & waterfall environment in Banking and finance domain.

Strong experience in developing automation frameworks and test libraries in Java using Selenium and JUnit.

Well versed with Software Development Life Cycle(SDLC) and Software Testing Life Cycle (STLC)

Hands on experience in unit, functional, system integration, user acceptance, mainframes and Unix files testing, SOAP UI and web services testing, regression, sanity testing, mobile testing and COGNOS Reports testing.

Proficient with Microsoft Office suits including the advanced functions like Pivot tables,macros and V-Look Up in Excel.

Experience in developing tools and utilities to reduce the efforts put into preparing test data and validating the results

Proficient in creating dashboards and reports using Tableau and Excel.

Well versed with preparing daily/weekly status of the project and presenting it to the client using Power point.

Hands on Experience in PL/SQL developing Stored Procedures, Functions & Triggers, SQL queries using Oracle PL/SQL.

EDUCATION

University of South Florida, Tampa, Florida Aug 2016- Dec 2017

Master of Science in Business Analytics & Information Systems, GPA: 3.83/4.0

Skills Gained: System Analysis & Design, Software Testing, Data Mining, Data Modelling Forecasting, Statistical Data Mining, Data Visualization, Data Warehousing and BI, Database Design and modelling

Institute of Technical Research and Education (ITER), India May 2012

Bachelor of Technology in Applied Electronics & Instrumentation Engineering, GPA: 8.91/10

SKILLS

Data Mining Tools:

R Studio, SAS Enterprise Miner, WEKA

Reporting Tools:

Tableau, QlikView, COGNOS (Query Studio, Report Studio), D3JS

Software Tools:

Microsoft Excel Macros and Pivot Tables, Putty, JIRA, HP QC, Toad

Software Testing Tools:

HP QC, HP QTP, JIRA, Selenium, Load Runner, Microsoft TFS

Business Analysis:

Software Development Life Cycle, Analytics, Requirement Compilation, Documentation, Performance Testing, Quality Assurance Testing, User Acceptance Testing, Use Case Analysis, Agile Methodology

EXPERIENCE

Tata Consultancy Services, Mumbai, India Jun 2012 – Nov 2015

Software Quality Assurance Analyst: Business Intelligence Unit

Client : Bank Of America/Merrill Lynch

Worked in both agile & waterfall setting in testing the end to end functionality of banking applications.

Created test plans and get it reviewed with clients, business partners and operational partners.

Led and guided a team of 6 to created test cases by analyzing the complex business requirements.

Identified and automated the scenarios for Smoke and Regression testing, thereby reducing the manual test effort by 40%

Performed Web Services testing by using SoapUI and built custom libraries in Java using open source libraries.

Wrote SQL queries for backend testing and developed a tool which generates SQL queries based on the test case.

Automated the dashboard reporting using .Net technology which saved 2 man-hr daily.

Prepared project functional artifacts, test metric reports/dashboards and training documents for new hires.

Developed frameworks, reusable libraries, and tools for QA engineers to team to reduce the time taken to execute test cases by over 70% and saving the client 50K/ month.

Participated in defect triage calls with clients, developers, and QA engineers until defect closure.

Used HP Quality Centre and ALM for creating and executing test cases and JIRA for defect logging and tracking.

ACADEMIC PROJECTS

Airbnb Project: Statistical Data Mining Project Aug’16 – Nov’16

Airbnb is a homestay network which provides lodging facility in residential properties at lesser cost. Suddenly their profit dipped in few regions. Hence as a data analyst, the main objective was to analyze the reason behind less profit and the new regions that can be targeted to expand the business. Analyzed almost 5billion rows of data and cleaned it using R. Collected data from Twitter and performed sentiment analysis. With R linear regression and logistic regression models and shiny, we created an app and determined the factors that might have impacted the business and forecasted the areas which would be most profitable if business is expanded there.

Contact this candidate