About
Analytical and data-driven Computer Science Engineering graduate with corporate data operations experience at Amazon. Proven track record in executing deep-dive statistical analysis, manipulating high-volume datasets, and converting complex data pipelines into actionable business insights. Highly proficient in writing SQL queries, building advanced Excel models (Pivot Tables, VLOOKUP/XLOOKUP), and designing interactive Tableau dashboards. Adept at working independently in 100% remote environments to clean data, identify trends, and deliver precise reporting against strict SLA targets.
Skills & Expertise (22)
Work Experience
Investigation Associate – Data & Analytics
Amazon Development Centre
Oct 2024 - Jul 2025
Utilized advanced SQL techniques to query, audit, and clean high-volume transactional datasets across global geographies, maintaining 100% data accuracy and integrity. Structured raw backend database outputs into organized Microsoft Excel and Google Sheets tracking files using Pivot Tables, complex formulas, and VLOOKUP arrays. Evaluated weekly operational data arrays to conduct root cause analysis (RCA), identifying performance bottlenecks and providing data-driven recommendations to management. Compiled multi-regional dataset trends to design comprehensive performance dashboards and reports, translating backend analytics into clear visual insights for stakeholders. Autonomously managed high-pressure data workflows in a fast-paced environment with perfect metric adherence, collaborating with cross-functional leaders to meet strict KPI targets.
Education
Bachelor of Technology (B.Tech) – Computer Science Engineering - Kakatiya Institute of Technology and Science
2020 - 2024 · Afghanistan
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Skills (22)
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