Siddharth Mathur

An integrated technology platform for the ad marketplace that elegantly combines real-time bidding (RTB) with a supply-side platform, ensuring the highest real-time value for the publishers and advertisers.

I was initially an individual contributor but swiftly moved into a more central role, codeveloping a test framework primarily based on Python, Selenium, and pytest and adding more features and functionalities. I also developed custom libraries to make it easy to add the API and database tests enabling the end-to-end test coverage through the framework. Finally, I participated in the integration of the framework with Jenkins and Docker.

A CRM system developed on the Salesforce cloud platform provides a single, aggregate view of local media customers and a real-time view of the contract information. The information was subsequently passed to the data warehouse and displayed on the dashboards and tableau reports.

As the only QA engineer on the team, I built the QA process from scratch, developed and executed the QA strategy and plan, and led a group of three to deliver three back-to-back releases with zero defect leakage. I created a test framework based on Python and Selenium and automated a significant chunk of the regression test suite, which resulted in 60% savings in overall regressions test efforts.

An iOS application integrated with Salesforce's cloud platform for the sales and market executives to help them effectively manage the merchants' details and KYC, reducing the merchant acquisition time from three weeks to 3-4 working days.

As an experienced member, I represented the QA team in defect resolution and coordination calls. To significantly increase the efficiency of the QA team, I leveraged the use of Selenium and Excel macros to automate many tasks of the QA process. I also led the test execution efforts across multiple platforms and oversaw accessibility testing.

This repository demonstrates a test framework based on Python, Selenium, and pytest. It explores various features of pytest and the page object model. Some of the important features of the project include:

• Effortlessly creating data-driven tests that load data from spreadsheets and write results back.
• Hassle-free WebDriver management that automatically downloads and caches all the required web-driver files for the installed browser versions.
• Automatic screenshot captures on test failure.
• Reporting feature that creates a separate folder for each test run containing logs, screenshots, and an HTML report.
• Selenium Grid integration that allows the tests to run simultaneously on instances of different browsers connected through Selenium Grid.