Braimah Abdul-Latif

I’m an Analytical and detail-oriented Data Analyst with a strong background in structured data collection, field research coordination, and data modeling. I transform raw transactional and demographic datasets into actionable business intelligence using SQL Server, Microsoft Power BI, and Advanced Excel, while leveraging Python for exploratory data analysis.

In my projects, I build decision-ready dashboards and models—using complex SQL queries to compute KPIs like Total Revenue and Total Pizzas Sold, then implementing robust relational data models in Power BI with DAX measures. I also engineer customer-focused analytics in Python by cleaning anomalies, segmenting shoppers, and producing visual profiles that support targeted marketing and improved retention.

Professionally, I combine analytics with on-the-ground execution: as a Classroom Teacher, I use data-informed pedagogical frameworks to track student performance and translate raw test scores into growth and learning-gap metrics. As an Independent Verification Officer / Supervisor / Enumerator, I coordinate rigorous mobile enumeration, perform real-time data quality verification, supervise field teams, and synthesize field-level metadata to support senior analysts—all with strict compliance and high data integrity.