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QA Engineer with less than a year in software testing and data analysis.
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Assessing your cultural and operational fit
Motivated and detail-oriented professional with 1 year of experience in software testing and data analysis within the automobile domain. Skilled in manual testing, defect tracking, and data-driven insights, seeking to contribute to a growth-oriented organization by ensuring quality delivery and supporting data-informed decision-making.
COER, Roorkee
B. Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
CBSE Board
Inter School Education
June 1, 2020 – May 31, 2020
CBSE Board
High School Education
June 1, 2018 – May 31, 2018
Automobile Parts Sales & Inventory Analytics Dashboard
March 1, 2025 – October 1, 2025
Developed an interactive dashboard using Power BI to analyse automobile parts sales and inventory data. Performed data analysis to identify fast-moving and slow-moving parts, improving stock planning. Monitored monthly sales trends, revenue patterns, and demand fluctuations for better forecasting. Implemented inventory tracking metrics to highlight low-stock and overstock situations. Conducted data cleaning and transformation using Excel / SQL, ensuring accurate reporting. Generated insights that helped optimize inventory levels and reduce excess stock.
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Cultural Fit Analysis
The candidate's involvement in coding clubs, workshops, and volunteering for tech-related events indicates a proactive and collaborative mindset, suggesting a good cultural fit for a team-oriented environment. Their commitment to continuous self-improvement and eagerness to learn align with a growth-oriented culture. The diversity of academic projects (data analytics and ERP testing) shows adaptability and a broad interest in technical applications.
Soft Skills & Operational Fit
The candidate demonstrates teamwork skills through collaboration on internal group projects and effective communication of technical concepts. Participation in coding competitions and hackathons suggests problem-solving prowess and a proactive learning attitude. The objective statement highlights a detail-oriented approach and a desire to contribute to quality delivery and data-informed decision-making.