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QA Engineer with 2+ years in CRM and loan-disbursement systems.
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Assessing your cultural and operational fit
Analytical and detail-oriented QA professional with ~2 years of experience testing CRM and loan-disbursement systems. Strong experience in Salesforce (Classic & Lightning), end-to-end loan workflows, functional and integration testing, and mobile testing. Comfortable working in Agile teams, preparing test plans, executing test cases, logging defects, and producing clear test reports. Aspiring Data Scientist with strong foundation in Python Programming and AI Principles. Skilled in performing Exploratory Data Analysis (EDA), data cleaning and building basic Machine Learning Models using scikit-learn and Pandas. Eager to apply analytical skills and a data driven mindset to solve real world challenges.
Pune University
Bachelor of Engineering
August 1, 2016 – June 30, 2020
Bajaj FinServ
QA Analyst
November 1, 2020 – December 1, 2022
India
Cultural Fit Analysis
The candidate's experience aligns well with a QA Engineer role, demonstrating practical experience in various testing methodologies and tools. The aspiration towards Data Science, while not directly related to the target QA role, indicates a proactive learning attitude and analytical mindset. However, the primary experience is focused on manual testing with limited depth shown in automation beyond basic Selenium WebDriver mention. The breadth of skills is somewhat narrow for a senior QA role, primarily focusing on functional and integration testing within specific domains.
Soft Skills & Operational Fit
The candidate demonstrates good collaboration skills, working effectively with developers, BAs, and project managers in Agile settings. Their experience in logging and tracking defects with clear reproduction steps indicates attention to detail and effective communication of technical issues. The resume also highlights an analytical and detail-oriented approach to QA.