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Zohaib Aslam
Aspiration Statement
Specializing in Data Science and Machine Learning, my background spans industry internships and academic research. I am passionate about leveraging data to build intelligent, scalable AI solutions.
Core Skills
- Hugging Face Transformers
- Pandas
- Python
- Scikit-Learn
- TensorFlow
Core Competencies
- Acts with Ownership
- Adaptability
- Effective Presentation Skills
- Encourages Innovation
- Problem Solving
- Takes Initiative
Preferred Career Paths
First priority: Machine Learning Engineer
Second priority: Data Scientist
Third priority: Software Engineer
Experience
Leadership / Meta-curricular
- Career Fair - Volunteer
Internship / Volunteer Work
- Data Science Intern, 10Pearls (September – November 2025)
- Python Developer Intern, VentureDive (June – August 2024)
Publications / Creative Projects
- Research Paper – Research Paper on Automating ROP Diagnosis and Severity with Deep Learning published in IEEE HONET 2025
Final Year Project
Project Title
AI-Powered Predictive Maintenance System for K-Electric
Description
My Final Year Project focuses on Predictive Fault Management for Karachi’s power distribution networks, aimed at shifting operations from reactive repairs to proactive maintenance. The system features a machine learning solution designed to predict fault types and restoration times. A key innovation involves integrating non-technical loss data, such as electricity theft, alongside weather and traffic variables to accurately model infrastructure stress. Supported by an automated data pipeline using Feast and GitHub Actions, this system is built to optimize resource allocation, significantly reduce operational downtime, and provide data-driven intelligence for a critical metropolis.
Project Pictures
