ZEHRA AHMED
OTHER-UNCATEGORIZED
· 2026
Email
z.ahmed.26965@khi.iba.edu.pk
Phone
317/287-3526 / 03172873526
GitHub
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Academic
Program
BS in Computer Science
CGPA
3.8
Year
2026
Education
Institute of Business Administration
Address
Karachi
DOB
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Career
Current role
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Target role
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Skills
Analytical Skills/Data Analysis, Research, Agentic AI workflows, MCP tools, Urdu Automatic Speech Recognition (ASR), Big Data Analytics, Hadoop, Spark, Airflow, MongoDB
Interests / quote
Final-year Computer Science student seeking opportunities in data analytics, AI, and software engineering. Driven by problem-solving, research-oriented thinking, and building practical systems that translate complex data into meaningful insights.
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
ZEHRA AHMED Email: z.ahmed.26965@khi.iba.edu.pk | Phone: 317/287-3526 / 03172873526 LinkedIn: https://www.linkedin.com/in/zehra-ahmed-3404a3254/ CAREER OBJECTIVE Final-year Computer Science student seeking opportunities in data analytics, AI, and software engineering. Driven by problem- solving, research-oriented thinking, and building practical systems that translate complex data into meaningful insights. EDUCATION BS in Computer Science – 2026 Institute of Business Administration, Karachi, CGPA: 3.8 A-Level – 2022 Nixor College, Karachi Grade/Percentage: 1A*, 1A, 2B O-Level – 2020 Dawood Public School, Karachi Grade/Percentage: 8A*, 1A MAJORS Computer Science INTERNSHIP/WORK EXPERIENCE Software Development Intern Astera Software | Jun 2025 - Aug 2025 Created Agentic AI workflows and MCP tools using Astera's in-house software. SKILLS & COMPETENCIES • Analytical Skills/Data Analysis (ADVANCE) • Research (ADVANCE) TERM PROJECT(S)/RESEARCH WORK(S) • Urdu ASR: An end-to-end Urdu Automatic Speech Recognition (ASR) system that converts spoken Urdu into accurate text. Designed to handle real-world audio with noise and accent variations, enabling transcription, analytics, and language accessibility for local applications. • End to End Big Data Analytics Pipeline for Stockout Prevention: Stockout Prevention is an end-to-end Big Data Analytics project that processes large-scale retail data to predict and prevent inventory stockouts. Built using Hadoop, Spark, Airflow, MongoDB, and interactive dashboards, it enables timely, data-driven operational decisions. Powered by TCPDF (www.tcpdf.org)