About
Data Analyst and Computer Science Engineering graduate with hands-on experience in SQL, Python, Microsoft Excel, Power BI, Tableau, data cleaning, data validation, KPI reporting, dashboard development, and AI/LLM quality analysis. Evaluated 5,000+ AI/LLM responses across structured evaluation workflows while consistently supporting a 90% quality target and processing ~600 evaluation tasks weekly. Skilled in exploratory data analysis, trend identification, reporting automation, data visualization, and translating complex datasets into actionable business insights. Experienced in structured quality assurance, prompt validation, error analysis, stakeholder-oriented reporting, and cross-functional collaboration.
Skills & Expertise (18)
Work Experience
Post-LLM Training Intern
Green Rider Technology
Dec 2025 - Mar 2026
Assessed 110+ AI/LLM responses daily for factual accuracy, relevance, consistency, safety, and guideline compliance, sustaining a 90% quality target. Reviewed and validated responses using prompt validation, response analysis, data annotation, and qualitative error analysis, maintaining 100% coverage across all assigned structured evaluation workflows. Completed 600+ evaluation tasks weekly; identified hallucinations, inconsistencies, reasoning gaps, and model errors, and documented structured feedback that fed directly into model refinement cycles. Collaborated with a 10-member cross-functional AI team on dataset preparation, data validation, quality assurance, benchmarking, and issue tracking, helping standardize evaluation criteria across the workflow.
Data Analyst - Independent Projects
Personal Data Analytics Projects
Jan 2025 - Nov 2025
Independently delivered 3 end-to-end data analytics projects: a sales dashboard, an automated reporting system, and a complaint analytics platform. Built an E-Commerce Sales Analysis Dashboard using 4 core tools (SQL, Excel, Python, Power BI) to analyze sales trends, customer behavior, and product performance across multiple product categories. Developed an Automated Management Reporting System in Python using 2 libraries (Pandas, Matplotlib) that cut manual report preparation time through recurring KPI dashboards. Created an AI-Powered Customer Complaint Analytics System using NLP to classify complaints, run sentiment analysis, and surface emerging customer pain points on live dashboards.
Education
B.Tech, Computer Science Engineering - SGT University
- 2026 · Afghanistan
Class XII, PCM - PDM Public School
- 2022 · Afghanistan
Class X - PDM Public School
- 2020 · Afghanistan
Certifications
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Skills (18)
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