musa haleemat

I turn large datasets into reports and dashboards that help decisions get made with clearer numbers. I’ve worked with 50,000+ sales records in Python and used SQL to query 7,500+ transactions, then cleaned and prepared data so it stays reliable.

During my Data Analyst Internship Training at Exelerate Organization, I assessed and cleaned a 7,543-row admissions and student outreach dataset using Power Query. I did exploratory data analysis to spot trends and anomalies, and I helped define and monitor outreach and admissions KPIs.

I build interactive dashboards in Excel and Power BI, including filters and drill-through experiences so stakeholders can explore admissions and outreach metrics. I’ve also designed KPI views for revenue, product performance, and customer segments using Excel Pivot Tables and Power BI.

On the project side, I’ve cleaned and analyzed datasets with Pandas, queried sales behavior and regional performance with MySQL (JOIN, GROUP BY, aggregates, CASE), and used DAX measures for Power BI dashboards. I’m also comfortable consolidating operational reporting data—transactions, payroll, cashflow, and profit & loss—then translating it into dynamic Excel dashboards.