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Shama Mhabuba

@shamamhabuba

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Detail-oriented QA Specialist combining data analysis and web testing to improve product quality and user experience.

Estonia

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What I'm looking for

I'm looking for a role where I can combine QA and data analysis skills to improve product quality and support data-driven decisions. I enjoy testing, analyzing data, solving problems, and working with teams to deliver reliable solutions. I'm eager to learn, grow, and contribute in a collaborative environment.

I’m a detail-oriented, analytical QA Specialist with a background in Computer Science and hands-on experience in QA testing, data analysis, and web technologies. I focus on manual testing and clear defect communication—building strong test cases, logging bugs, and using SQL and data visualization to support data-driven decisions.

At Digivante, I execute regression testing for UK and EU websites, participate in UAT to identify critical bugs, and perform cross-browser and cross-device testing with detailed defect logging. I enjoy collaborative, fast-paced teams and I’m currently expanding my skills in automation testing, Tableau, and advanced SQL to improve product quality even further.

Experience

Work history, roles, and key accomplishments

Current

QA Specialist

Current

Digivante

May 2025 - Present (1 year 1 month)

Executed regression testing for UK and EU websites and supported UAT by identifying critical bugs. Performed cross-browser and cross-device testing with detailed defect logging while collaborating to improve software quality and user experience.

Regression Testing UAT Testing Manual Testing Bug Reporting Defect logging Cross Browser Testing Quality Assurance Test Execution Collaboration

AI Document Insights Extern

Outamation

Oct 2025 - Dec 2025 (2 months)

Completed a remote externship (Oct–Dec 2025) focused on AI-powered document insights and data extraction, using prompt engineering and LLM workflows for OCR and text extraction.

Prompt Engineering Artificial Machine Learning Document Intelligence Python Automation LLMs OCR Text Extraction JSON Generation LLM

Quality Assurance Specialist

Digivante

May 2025 - Jul 2025 (2 months)

Performed regression testing for UK and EU e-commerce websites and supported European UAT for the SharkNinja site, identifying functional bugs and UI/UX inconsistencies before release. Ran cross-browser and cross-device tests, logged defects, and verified fixes to ensure consistent regional functionality.

Cross device Testing E Commerce Testing Regression Testing User Acceptance Testing (UAT)Cross Browser Testing Bug Verification UI UX Validation

Tour Coordinator

Tumlare Corporation

Feb 2018 - Aug 2020 (2 years 6 months)

Managed bookings and coordinated with suppliers while performing operational quality checks. Worked with international clients and maintained organized reporting and communication processes in a fast-paced environment.

Booking Management Supplier Coordination Customer Service Client Communication Reporting Stakeholder Management Problem Solving Fast Paced Environment

Web Designer & Instructor

Creative IT Limited

Feb 2014 - Jan 2015 (11 months)

Designed websites using HTML, CSS, and WordPress and instructed students on front-end development projects. Improved problem-solving and communication skills through teaching and practical guidance.

Web Design HTML CSS WordPress Front End Developer Problem Solving Communication

Education

Degrees, certifications, and relevant coursework

Tallinn Learning

QA Engineer Program, Quality Assurance (QA) Engineering

Completed the QA Engineer Program at Tallinn Learning (Jan 2025–Oct 2025).

Software Development Academy

Python, Python

2020 - 2021

Studied Python at the Software Development Academy from 2020 to 2021.

Tallinn University of Technology (TalTech)

Master of Science (MSc), Computer Science and System Engineering

2015 - 2018

Earned an M.Sc. in Computer Science and System Engineering at TalTech (2015–2018). Thesis focused on a web-based learning progress visualization tool for the ISC e-learning platform using large, continuously expanding learning log datasets.