ZAIGHUM JAWAD ASLAM

ZAIGHUM JAWAD ASLAM

Alcalá de Henares, Madrid, Spain.

About

Master’s Student in Data Science with strong academic background, AI & Digital Transformation Enthusiast | Erasmus+ Thesis Researcher | Erasmus+ Traineeship Candidate

Work

Arc Technologies

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Data Science Intern (Remote)

Islamabad, Punjab, Pakistan

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Summary

Contributed to real-world data science and AI projects, applying Python libraries for data manipulation, model building, and analysis.

Highlights

Gained hands-on experience in core data science and AI concepts, contributing to practical project implementation.

Executed real-world data science projects, focusing on learning through practical application of advanced principles.

Utilized Python libraries including Pandas, Scikit-learn, and Matplotlib for efficient data manipulation and model building.

Collaborated within a learning-driven environment, enhancing readiness for future data science roles and challenges.

Fast National University

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Teaching Assistant

Faisalabad, Punjab, Pakistan

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Summary

Supported student learning in Physics, IoT, and Electromagnetic Theory, managing coursework and ensuring timely submission of assignments and quizzes.

Highlights

Managed coursework and ensured timely completion of assignments, meetings, and quizzes for Physics For Engineers, Internet Of Things, and Electromagnetic Theory.

Provided academic support to students, clarifying complex concepts and facilitating understanding in key engineering subjects.

Assisted in grading assignments and quizzes, providing constructive feedback to improve student performance and comprehension.

Coordinated and scheduled meetings to address student queries, enhancing engagement with course material and improving learning outcomes.

Institute of Technology

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Internee

Gujrat, Punjab, Pakistan

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Summary

Gained foundational experience in Linux, Android OS, and CAD design, developing problem-solving skills and in-depth system understanding.

Highlights

Developed foundational skills in Linux, Unix, Android OS, and Shell Scripting, enhancing operating system proficiency.

Utilized Android Debug Bridge (ADB) and solved LeetCode problems, improving debugging and algorithmic problem-solving capabilities.

Gained in-depth understanding of Android OS ROM structures, contributing to advanced system comprehension.

Completed advanced AutoCAD coursework, successfully designing complex 3D CAD Models.

Education

Universidad de Alcala

Madrid, Madrid, Spain
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Erasmus+ Thesis Research Mobility Data Science

Courses

Just-in-Time Defect Prediction with Feature Stability Evaluation (Thesis)

University Of Naples Federico II

Naples, Campania, Italy
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Masters Data Sciences Grade: 2.8 / 3.0

National University of Computer and Emerging Sciences, FAST NUCES

Islamabad, Punjab, Pakistan
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Bachelors of Science Electrical Engineering (Specialization In Computer Engineering) Grade: 3.6 / 4.0

Awards

Winner Of Erasmus+ Traineeship

Erasmus+

Selected for the Erasmus+ Traineeship Programme, securing funding for an international professional traineeship focused on advanced data science and analytics skills.

Winner Of Borsa Di Studio Per Ricerca Tesi (UNINA Scholarship)

Universidad de Alcala

Awarded the Borsa Di Studio Per Ricerca Tesi scholarship for research under Erasmus+ Thesis Research at Universidad de Alcala.

FCAP Typing Competition - 5th Place

FAST NATIONAL UNIVERSITY

Secured 5th place out of 100+ participants in the FCAP Typing Competition, achieving speeds up to 75 Words per minute (WPM).

Dean's List Honour Award (5 times)

National University of Computer and Emerging Sciences, FAST NUCES

Received the Dean's List Honour Award five times for maintaining a GPA above 3.5 throughout Bachelor's studies, demonstrating consistent academic excellence.

Publications

Research Paper

Bentham Publications

Published a research paper through Bentham Publications, contributing to the academic literature in a relevant field.

Languages

English

Italian

Certificates

IELTS

Cambridge

Data Analytics Job Simulation

Deloitte Australia (on Forage)

Discover Data Analysis Training

Microsoft

Skills

Programming Languages

Python Programming, C++ Programming & Understanding, SQL Programming, Shell Scripting.

Data Science & Machine Learning

NLP, Data Mining, Machine Learning, Deep Learning, Data Analysis and Visualization, Statistical Modeling, Feature Engineering, Model Evaluation, Data Preprocessing, AI Concepts.

Agentic AI Skills

Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Hugging Face Transformers, LangChain, LlamaIndex, Embeddings, Vector Databases (FAISS, ChromaDB), AI Agents.

MLOps & Deployment Skills

Docker, MLFlow, GIT, APIs (REST, FAST), ML Pipelines (CI/CD).

Projects

Retrieval-Augmented Generation (RAG) System

Summary

Designed and deployed an intelligent document retrieval and question-answering system using Large Language Models and vector-based semantic search. Built a complete RAG pipeline integrating document processing, embeddings, vector databases, and LLM inference. Implemented semantic retrieval, prompt engineering, and context-aware response generation. Containerized the application using Docker and developed a modular deployment workflow. Technologies: Python, LangChain, LlamaIndex, Hugging Face, FAISS/ChromaDB, Docker.

Portable Ventilator Automation with IoT and Machine Learning

Summary

Developed a fully functional portable ventilator integrating IoT, machine learning, and embedded systems for automated and manual respiratory support. Designed and built the ventilator hardware prototype with sensor integration for real-time respiratory monitoring. Implemented Firebase and Blynk connectivity for remote monitoring, control, and mobile application integration. Developed intelligent control features using Arduino, Raspberry Pi, Python, and Scikit-learn. Published the project as a peer-reviewed research paper in Bentham Publications. Technologies: Python, Scikit-learn, Arduino, Raspberry Pi, Firebase, Blynk, IoT, Embedded Systems

Just-in-Time Defect Prediction with Feature Stability Evaluation

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Summary

Conducting thesis research on Just-in-Time Defect Prediction, focusing on feature stability evaluation to enhance software quality assurance and predictive model robustness.