About
Data Analyst specializing in SQL, Power BI, Excel, and data visualization. Proven ability to analyze large enterprise telecom datasets, develop KPI-driven dashboards, and transform complex operational data into actionable business insights. Experienced in the telecom domain (Order Management Systems) with specific expertise in data validation, log analytics, database testing, and cross-functional collaboration to eliminate pipeline friction, resolve data anomalies, automate reporting frameworks, and deliver predictive operational and trend insights.
Skills & Expertise (28)
Work Experience
Software Developer (Data & Business Intelligence)
Amdocs
Dec 2023 - Aug 2026
Optimized complex SQL queries, advanced joins, and aggregations to drive partner portal reporting and ensure data quality across enterprise systems. Directed structured root-cause analysis on customer transaction drop-offs and data anomalies, identifying fulfillment bottlenecks to mitigate operational costs and eliminate systemic data gaps. Designed and supported data engineering workflows using Python and SQL to ingest, clean, and map transactional datasets within cloud environments (AWS/Databricks), ensuring high data quality and schema compliance. Built, optimized, and maintained comprehensive Power BI dashboards, tuning DAX query speeds and semantic model efficiency to handle large datasets. Automated data pipeline testing, validation workflows, and data cleaning routines using Python and LLM-enabled generative AI tools (Cursor) during routine sprint cycles. Collaborated closely with cross-functional teams to translate raw business requirements into robust, compliant analytical solutions; prepared ad-hoc reports and predictive trend forecasting models to track data volumes and support strategic, data-backed roadmap decisions.
Business Associate Intern (Qliksense)
VOIS-Vodafone
Jan 2023 - Apr 2023
Built QlikSense dashboards to monitor daily operational KPIs and user experience metrics, developing automated reports to track business performance across indicators. Performed end-to-end data cleaning, variance reconciliation, and validation on source datasets using SQL, Python, and Excel Pivot Tables/lookup functions. Communicated analytical findings, operational risks, and process optimization strategies directly to senior management and strategy teams, translating complex data into clear PowerPoint presentations and performance insights.
Education
Bachelor of Technology - MIT Academy Of Engineering
2019 - 2023 ยท Afghanistan
Certifications
Databricks Certified Data Engineer Associate
ยท 2026
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Skills (28)
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