About
Detail-oriented and analytical B.E. graduate in Artificial Intelligence and Machine Learning with hands-on experience collecting, cleaning, and analyzing data using Excel, SQL, Power BI, Tableau, and Python to support business decisions. Skilled in building reports, dashboards, and data visualizations, validating data accuracy, and translating business requirements into actionable insights. Internship experience delivering MIS-style reporting and structured data pipelines within Agile, cross-functional teams. Fast learner with strong written and verbal communication, eager to grow as a Data Analyst in a collaborative environment.
Skills & Expertise (31)
Work Experience
Agentic AI Virtual Intern
Innomatics Research Labs
Feb 2026 - May 2026
Collected, cleaned, and analyzed large unstructured datasets using Python (Pandas), building repeatable data-processing workflows. Built REST API integrations and data-retrieval pipelines; documented data flows and outputs in structured reports for stakeholders. Followed Git-based Agile workflows with code reviews and sprint documentation, coordinating with team members to align on data requirements. Translated business requirements into automated, repeatable data solutions applicable to production data monitoring and reporting at scale.
Education
Bachelor of Engineering – Artificial Intelligence and Machine Learning - P.E.S. Institute of Technology and Management
2022 - 2026 · Afghanistan
Certifications
Google Cloud Skills Boost — Silver League
Google Cloud · 2026
Deep Learning with TensorFlow
IBM / CognitiveClass.ai · 2025
Computer Vision 101
Infosys Springboard · 2025
MongoDB Certification
ICT Academy · 2024
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Skills (31)
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