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About Candidate
Data Analyst with 9+ years of experience delivering clean, reliable, and insight-ready data across fast-paced environments. Proven success validating and enhancing large datasets, identifying inconsistencies, and leading collaborative efforts with engineering and product teams to improve data integrity. Adept at troubleshooting scraped data, handling JSON/HTML/CSV formats, and implementing validation frameworks that support data governance and strategic decision-making. Microsoft-certified in Azure Data Fundamentals with an MSc in Data Science (Distinction). Known for building trust in data systems, leading initiatives that improve pipeline resilience, and fostering data literacy across organizations.
Location
Education
Key Modules: Predictive Analytics, Advanced Statistical Modeling, Data Ethics, Machine Learning
Accounting
Work & Experience
• Took ownership of data pipeline QA processes across ops and customer systems, uncovering inconsistencies that reduced reporting errors by 22% and streamlined performance reviews. • Defined and implemented automated rule-based validation checks, significantly improving the accuracy and trustworthiness of daily reporting datasets. • Designed and launched role-based Power BI dashboards used across operations and leadership, increasing data visibility and decision speed. • Led root cause investigations into recurring ingestion issues and collaborated with engineers to fix upstream parsing logic, preventing data loss. • Facilitated knowledge-sharing sessions to help teams interpret quality metrics and understand the business impact of clean data.
