About
Detail-oriented data analyst with expertise in Python, SQL, and Power BI, specialising in transforming raw vendor data into global asset management KPIs. Accredited in PL-300 and AI-102, bringing hands-on experience in cloud data processing with Azure Databricks to deliver clean, accurate, and visually compelling business insights.
Skills & Expertise (16)
Work Experience
Analyst II Infrastructure Services
DXC Technology
Aug 2022 - Present
Spearheaded end-to-end IT hardware asset inventory audits and streamlined data reconciliation for 800+ enterprise clients globally. Designed and deployed advanced interactive Power BI dashboards for data visualisation, delivering actionable KPI metrics that drove business intelligence and achieved an 80% financial accuracy rate, surpassing the 75% organisational target. Engineered scalable ETL data pipelines using Azure Databricks to extract and process multi-vendor asset data from relational databases via complex SQL queries. Utilised Python scripting for rigorous data cleansing and data transformation, successfully loading structured datasets into Azure Data Lake to enable cross-functional validation and centralised reporting. Applied AI-driven data analysis techniques utilising Python (Pandas, scikit-learn) for anomaly detection and pattern recognition. Integrated insights with advanced MS Excel (PivotTables, VLOOKUP) to accurately classify retired assets, optimising asset utilisation and executing strategic write-offs that produced over $520,000 in direct cost savings.
Education
Master’s of Computer Applications - Lovely Professional University
- 2026 · Afghanistan
Bachelor’s of Computer Applications - Dayanand Academy of Management Studies
- 2022 · Afghanistan
Certifications
Microsoft Azure DP 700
Microsoft · 2026
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Citizen
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Open to Relocation
Skills (16)
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