s
syedsherry

Najam Ul Hassan

@syedsherry

Transforming raw data into compelling insights

Pakistan
Inglese, Urdu
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I help businesses turn raw data into clear, actionable Power BI dashboards — so you can make faster decisions without drowning in spreadsheets. With expertise in Power BI, DAX, Power Query, and data modeling, I build interactive reports that executives actually use. Whether you need a sales dashboard, financial tracker, or KPI overview — I deliver clean, professional visuals on time. ✅ Custom dashboards from scratch ✅ Fix & optimize existing reports ✅ Data cleaning & transformation (Power Query) ✅ DAX measures & calculated columns Let's turn your data into decisions.... Continua a leggere

Competenze

s
syedsherry
Najam Ul Hassan
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Dashboard dati
I will create a professional power bi dashboard for your business data
Dashboard dati
I will fix, optimize or improve your existing power bi report

Esperienza lavorativa

ADDO_AI

Senior Business Intelligence Engineer

ADDO AI • Full time

Mar 2020 - Present6 yrs 2 mos

Migrated enterprise reporting from SQL Server to Amazon Redshift, improving query performance and enabling scalable self-service analytics for 50+ stakeholders. • Designed 10+ dynamic Power BI dashboards with customizable KPIs, enabling business units to make datadriven decisions autonomously — eliminating dependency on the BI team for ad-hoc reports. • Automated reporting workflows and alert systems using Power BI, reducing manual reporting effort by 40% and freeing 15+ engineering hours per week. • Developed advanced DAX measures, time-intelligence functions, and performance indicators powering real-time executive scorecards. • Standardized BI practices organization-wide by creating reusable data models and visualization templates, cutting new dashboard development time by ~30%. • Delivered user training sessions and documentation; drove adoption of a self-service analytics culture across marketing, product, and finance teams.