Abdul B

Data Analyst Create Ai Agend

Al Hayat • Fulltime

Jan 2026 - Present • 4 mos

Tracked and examined sales numbers on a daily, weekly, and monthly basis to assist the leaders in seeing how well the market was performing. • Examined the extent to which sales objectives had been met and the sales team's performance using DAX measures and drill through features. • Identified the extent to which sales had increased or decreased and provided recommendations on how to improve, thus running the business better. • Developed data models using Power BI and the Star Schema approach, resulting in the reduction of a huge 1.2 TB data set by 33%. • Automated data pipelines using Power Query and T-SQL, resulting in the saving of a quarter of the time that used to be spent on the process. • Built automated reports with SSRS and Crystal Reports so that different departments could get the data they needed without waiting on manual emails. • Improved the indexes using experts, resulting in the speeding up of queries by 40%.

Data Analyst (Finance)

Amin Tech • Fulltime

May 2024 - Jan 2026 • 1 yr 8 mos

Developed high performance KPI dashboards that monitored revenue cycles, financial forecasts, and the utilization of resources by various departments. • Developed dashboards that use advanced formulas in DAX to predict financial trends and compare discrepancies between expected and actual results for the next 12 months. • Developed automated checks using SQL to guarantee the accuracy of financial reports, which were over 99%. • Developed Row Level Security using Power BI to restrict access to sensitive financial information. • Created detailed documents that explained the flow of data, which is useful for regulatory compliance.

Data Analyst

PkTeam • Fulltime

Feb 2023 - Apr 2024 • 1 yr 2 mos

Tracked and examined sales numbers on a daily, weekly, and monthly basis to assist the leaders in seeing how well the market was performing. • Examined the extent to which sales objectives had been met and the sales team's performance using DAX measures and drill through features. • Identified the extent to which sales had increased or decreased and provided recommendations on how to improve, thus running the business better. • Developed data models using Power BI and the Star Schema approach, resulting in the reduction of a huge 1.2 TB data set by 33%. • Automated data pipelines using Power Query and T-SQL, resulting in the saving of a quarter of the time that used to be spent on the process. • Built automated reports with SSRS and Crystal Reports so that different departments could get the data they needed without waiting on manual emails. • Improved the indexes using experts, resulting in the speeding up of queries by 40%