Mansoor Pasha

Welcome

Hello! I’m Mansoor Pasha, a functional tester with over 3 years of experience in IVR systems, API validation, and database testing within call center technology environments. I specialize in creating automation tools that have reduced manual effort by up to 90%, driving both speed and accuracy in testing processes.

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About Me

I bring a strong background in functional testing, regression testing, defect management, and tool-based optimization using Python, SQL, and Excel macros. I’ve been recognized for enabling faster debugging, improving data accuracy, and enhancing the overall test lifecycle through innovative automation strategies.

Skills

Cyara
Octane ALM
SQL
Jira
Postman
SoapUI
Git Lab
Kibana
Splunk
Python
C
Portainer

Education

Bachelor of Engineering in Electronics and Communication
Dr. Ambedkar Institute of Technology, Bangalore
Graduated year: 2021
CGPA: 8.22
Intermediate-PCME
Bunt's Sangha RNS Composite PU College
Graduated year: 2017
Percentage : 85%
Matriculation
St. John's High School
Graduated year: 2015
Percentage : 79%

Experience

Infosys Ltd., Bangalore, India

Role: Quality Engineer Analyst

Duration: November 2021 – June 2025

  • Developed automation tools that reduced manual effort by 80–90% across IVR and API testing.
  • Performed functional testing of IVR systems using Cyara, validating DTMF inputs, voice prompts, and call routing.
  • Built Python-based tools for log command generation, database result extraction, and test automation.
  • Automated API smoke testing and documentation using Selenium and Excel macros.
  • Validated APIs using Postman and SoapUI to ensure backend integration accuracy.
  • Managed test cases and tracked defects using Jira and Octane ALM.

Projects

Problem: Manual execution of Octane test cases and documentation was tedious and time intensive.

Solution: Developed a Selenium-based tool to automate test case execution, adding comments, UCIDs, and attachments.

Impact: Enhanced productivity by automating 100% of Octane test case processes, reducing manual errors.

Problem: New team members lacked ADM access, causing delays in retrieving logs for Enterprise IVR and NLU initiatives.

Solution: Developed a Python-based tool that generates Linux commands for session ID retrieval, log access, and permissions.

Impact: Reduced log retrieval time by 70%, streamlining the debugging process and enabling faster testing cycles.

Problem: Manual API testing and documentation were repetitive and prone to inconsistencies.

Solution: Created a Selenium and Excel-based tool to automate smoke test execution, documentation, and evidence collection.

Impact: Achieved 85% time savings on API testing and ensured consistent reporting across all cycles.

Problem: Manual data extraction from multiple databases for IVR call flow analysis was time-consuming and error-prone.

Solution: Automated data retrieval and aggregation into a single Excel file using Python, enabling real-time insights.

Impact: Improved accuracy and reduced data preparation time by 90%, benefitting the entire team.

Developed a Python-based Smart Assistant using Tkinter for scheduling and managing appointments.

Integrated email-based user verification for secure access and enhanced reliability.

Led a team of 4, fostering collaboration and ensuring successful project delivery.

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