Test Analyst Machine Learning

Summary

I worked as a QA Test Analyst with * years of experience in software testing in bank project. I have experience in data base testing using db and oracle and also I have designed automation test bed by using QTP and UFT tools. I have good experience in JIRA and ALM tools. I have created a dashboards in JIRA and I have worked all the collaborations and application part in JIRA. Technical Skills

Operating System: Windows

Programming Languages: SQL, JavaScript, Python basics, PLSQL Database: SQL Server, DB2, Oracle

Testing Tools: ALM, JIRA, Selenium, QTP/UFT

Professional Experience

QA Test Analyst

Tata Consultancy Services (TCS)

Bangalore

AUGUST 2019 – December 2022

Responsibilities:

Worked in Banking Sector Project (DB-CISO-3G-UDAM(20310025)). Designed and implemented testing strategies for multiple level initiatives in client statement and confirmation.

Worked on Defect tracking and maintaining Status reports and test closure reports. Worked on ALM for creating and uploading test cases and creating releases for every requirement. Worked on JIRA for validating the defects from production stage to testing and UAT to close defect. Worked as a supporter in operations team (UDA). Performed some validations from client-side operations. Worked on creating test data by using database for collection all the bank data. Participated in daily stand-up meetings, sprint planning, and retrospective sessions as part of Agile development processes.

I have collaborated with cross-functional teams including developers, business analysts, and project managers to define test plans, test cases, and test scenarios. Worked on executed test cases and documented test results, defects, and resolutions using defect tracking tools such as JIRA.

Projects Worked :

Manasa Chekuri

Email: ****************@*****.***

COVID 19-DEDUCTION – USING – CHEST – XRAY – IMAGES Role : Tester

Summary:

Python and machine learning were used in the COVID-19 Deduction project to identify COVID-19 from chest X-ray images. For accurate identification, the team—including myself—used modern techniques like the ResNet-18 model. By means of cooperative efforts and careful examination, we achieved accurate outcomes, improving the competencies of medical professionals in preventing the pandemic.

Technologies used: Machine learning, Python, Database, SQL, Convolutional Neural Networks(CNNs), TensorFlow, Keras, Image processing, Data processing. Responsibilities:

Worked on testing by using some machine learning techniques and python programming to test and done some analysis in the COVID-19 detection Project. Worked on image classification and some analysis by using ResNet-18 model. Worked on collecting and creating the data of the people who are suffering with COVID-19 for testing.

Perform testing on image classification every time because based on those images the accurate results was coming.

Communicating with development team to make sure the accurate results and efficient implementation.

Worked on writing test cases and uploading those test cases in to the ALM for future references. Worked on preparing some documentation testing procedures and the results for future reference and made some improvements.

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