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QA Automation Engineer with 4+ years in Mobile Application Testing, Python, SQL, and Data Analysis
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled QA Automation Engineer with 4.7 years of experience in manual and automation testing for Android and iOS applications. Proficient in Python for test script development, API testing with Postman, and data-driven automation. Proven ability to design comprehensive test cases, identify defects, and collaborate cross-functionally to enhance application quality and user experience. Expertise also extends to data analysis and dashboard creation using Power BI, Snowflake, and AWS for actionable insights.
Vidya College Of Engineering
Btech · Computer Science And Engineering
August 1, 2019 – June 30, 2023
Ad Media Network LLP
QA Engineer | Manual & Automation Testing
August 1, 2023 – Present
India
Ad Media Network LLP
QA Engineer | Manual & Automation Testing
August 1, 2019 – June 1, 2023
India
Rainfall Analysis Dashboard
January 1, 2023 – December 31, 2023
To analyze historical and seasonal rainfall patterns using Power BI for trend identification, comparative analysis, and data-driven environmental insights. Built a Power BI rainfall analysis dashboard by integrating data from Snowflake and AWS, enabling trend analysis, seasonal patterns, and regional comparisons. Performed data transformation, modeling, and DAX calculations, ensuring scalable reporting, optimized performance, and automated refresh pipelines. Automated data refresh and transformations using Power Query, improving reporting accuracy and reducing manual data handling.
Mobile App Conversion Funnel Dashboard
January 1, 2023 – December 31, 2023
Created a Power BI dashboard tracking user behavior from install to purchase with retention, funnel, and campaign performance. Developed an end-to-end Power BI dashboard to analyze mobile app conversion funnel (Install → Signup → Purchase) for Android and iOS, improving conversion rate analysis and retention tracking. Implemented advanced DAX calculations for conversion rates, funnel drop-offs, retention (D1/D7/D30), cohort analysis, and campaign KPIs (ROAS, CAC, CTR).
Cultural Fit Analysis
The candidate's project experience, while demonstrating strong data analysis skills with Power BI, does not directly align with the core responsibilities of a QA Automation Engineer. The projects primarily focus on data visualization and business intelligence, which are tangential to QA. However, the professional experience is highly relevant. The breadth of skills includes Python, SQL, Postman, and various testing methodologies, indicating adaptability. The candidate's current role as a QA Engineer suggests a clear career path alignment, but the project diversity leans heavily towards data analytics, which might indicate a broader interest beyond pure QA automation.
Soft Skills & Operational Fit
The candidate's experience highlights collaboration with product, development, and analytics teams, indicating good cross-functional communication and teamwork skills. The ability to analyze application data flows and user behavior suggests strong analytical and problem-solving capabilities. The focus on improving testing efficiency and reducing manual effort points to a proactive and optimization-oriented mindset.