About
Data Analyst with 2+ years at Dell Technologies turning large-scale clickstream and customer engagement data into stakeholder-facing insights. Skilled in Power BI dashboarding, SQL, and ad-hoc analytical readouts — including YoY performance reporting — for technical and non-technical audiences. Experienced in end-to-end data pipelines, statistical analysis, pre/post-launch analysis, and applying ML and LLMs to automate analytics workflows.
Skills & Expertise (49)
Work Experience
Software Engineer, Analytics Team
Dell Technologies
Aug 2024 - Present
Analyzed YoY performance of the SNP (accessories) page on Dell.com using Adobe Analytics, Hadoop, the data lakehouse, and Excel pivot tables — uncovering a 13.26% rise in visits alongside an 11.80% drop in CVR, 9.45% drop in AOV, and 9.54% drop in implied revenue, and pinpointing third-party, non-Dell-manufactured accessories as the primary driver of the decline. Queried and analyzed large-scale customer engagement and clickstream data from Hadoop and the data lakehouse using SQL, resolving complex cross-functional analytics requests and enabling faster, data-backed decisions for stakeholder teams. Engineered SQL- and Python-based data transformation, cleansing, and validation workflows for large-scale datasets, delivering audit-ready analytical outputs that internal and external stakeholders relied on for reporting. Analyzed customer navigation and backtracking patterns across product and cart-compare pages, then partnered with Product and UX to redesign comparison logic — lifting conversion rate by 10%. Converted analytical findings into stakeholder-ready readouts and recommendations, directly shaping personalization and configuration-flow enhancements on the Dell.com platform. Built a recommendation engine on historical customer configuration data to surface top-selected modules, simplifying the product configuration journey and reducing customer effort. Designed and deployed an LLM-enabled machine learning classification model to auto-route customer queries across Technical, Order, Shop, and Account categories, improving query-resolution efficiency by 45% (from 50% to 95%). Built interactive Power BI KPI dashboards with DAX, filters, slicers, and scheduled refreshes, giving stakeholders continuously updated performance visibility and cutting manual reporting effort.
Software Engineer Intern
Dell Technologies
Jul 2023 - Sep 2023
Built a RabbitMQ monitoring application (Python/Flask backend, Angular CLI frontend) with queue management and automated threshold-based alerts, enabling faster detection of unconsumed message spikes. Improved order-processing efficiency by 10% through proactive, dashboard-driven queue monitoring and faster issue identification, strengthening overall system reliability.
Education
B.E. in Computer Engineering - MKSSS's Cummins College of Engineering for Women
2021 - 2024 · Afghanistan
Certifications
Agentic AI Development
Devin AI · 2023
Citibridge Program
· 2023
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Visa Status
Citizen
Relocation
Not Open to Relocation
Skills (49)
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