I enjoy solving problems, uncovering patterns, and finding ways to make software and data more reliable. With 5 years of experience in software development and testing, I bring a strong foundation in quality assurance, debugging, and analytical problem-solving, backed by a track record of identifying over 100 critical software defects.
Beyond my professional experience, I have built hands-on expertise in data analytics through projects using SQL, Python, Pandas, NumPy, Excel, and Looker Studio. I analyzed 10,000+ customer records to uncover 6× higher churn among senior customer segments, conducted customer delinquency analysis that identified a 16% delinquency rate, and audited SQL data-cleaning workflows to uncover critical data quality issues.
I am particularly interested in data analytics, data quality assurance, business intelligence, and AI data evaluation. I enjoy cleaning messy datasets, identifying anomalies, investigating inconsistencies, and translating findings into meaningful insights. My software testing background has taught me to question unexpected results, examine details carefully, and approach problems systematically.
I am looking for remote opportunities where I can combine my software quality assurance experience and data analytics skills to improve data reliability, support informed decision-making, and contribute to impactful projects while continuing to grow as a data professional.
