Raghav is an Automation Manager with 12 years of experience working with tools and frameworks in finance, banking, and gaming sectors. He has 4+ years of testing REST and SOAP using Postman and automation using REST Assured, SOAP UI, and ReadyAPI. Raghav is proficient in Java and Python, with working experience in JavaScript and C#.
Monitoring QA processes/activities and various project meetings for clients across multiple industries.
Partnering with cross-functional departments to work on process problems and challenges affecting customer satisfaction in project implementation.
Facilitating QA ceremonies, identifying and removing impediments to success, tracking progress, and recognizing opportunities for continuous improvement.
Defined automation strategies and clear guidelines in transitioning infrastructure to a cloud environment.
Developed SOAP API automation packs using SoapUI and integrated it with Jenkins pipeline.
Created a pipeline to fetch logs from Splunk, transform them, and store them using Python and Splunk API.
Implemented 3 Musketeers’ pattern including Docker, Docker Compose, and Make to automate data gathering and data wrangling with Jenkins pipeline on AWS.
Automated the verification process for comparing 50K+ responses on a daily basis using XMLDiff and customized Python script.
Enabled logback in automation scripts and integrated it with EFK (Elasticsearch, FluentD, Kibana).
Developed an automation framework using Java, Cucumber, Selenium 3.0, and TestNG.
Developed an end-to-end automation and bug lifecycle flow using Jenkins, Bitbucket, Jira, and Zephyr.
Managed planning (creation of test strategy, TRA, TDRA), implementing, coordinating testing activities (test plan, test creation, execution, test analysis), and defect management.
Developed and maintained Java-based automation test scripts.
Involved in the development of automation test scripts using Ranorex with C#.
Used Snowball stemming and multinomial Naïve Bayes algorithm for an RPA/Sentiment Analysis project.
Automated test data generation using Selenium/Java for RPA team, saving 2,000+ man hours.
Created data pipelines using Beautiful Soup, Python, Selenium, etc. for RBS news and visualized via word cloud.
The Carrier Home app offers a contemporary look and feel for remote Infinity system control.
It enhances the homeowner experience, improves functionality, and increases connectivity between the mobile device and the Infinity home comfort system.
The project focused on redesigning user feedback based on new features and improved strategy.
Education
Neural Networks and Deep Learning | Applied Data Science Capstone | Data Science in Real Life