Balqis Abimbola

I’m a Data Analyst specializing in data reconciliation, quality assurance, and reporting automation. I’ve maintained 75%+ data accuracy across multi-source projects by implementing validation protocols that reconcile internal datasets with external benchmarks.

I build custom Python/Pandas tools to reduce manual validation and improve data reliability at scale, including a deployed Data Quality Audit application that processes 1M+ row datasets. This work helps stakeholders trust the numbers and make faster, better decisions—accelerating decision-making by up to 80%.

In my recent role, I delivered monthly analytical reports synthesizing data from 3+ sources and supported strategic decision-making across teams. I also collaborated with a data collection team to streamline processes and improved efficiency by 30% while maintaining rigorous data quality standards.

I’ve strengthened my communication and teaching skills as a Data Analysis Tutor, coordinating Data Science Week with an end-to-end Power BI project for students and faculty. Earlier, as a Data Analyst Intern, I created interactive dashboards and conducted sales trend and customer behavior analyses to identify new business opportunities, while cleansing and validating datasets for dependable reporting.