Naveed Ahmad

NAVEED AHMAD Email:- AI/Machine Learning Engineer LinkedIn: https://www.linkedin.com/in/naveedai/ - /- ======================================================================== Motivated and results-driven Data Science & AI Enthusiast with hands-on experience in Machine learning, Deep learning, and Computer Vision. Proficient in developing AI models, analyzing data, and delivering actionable insights. Passionate about leveraging advanced analytical techniques to solve real-world challenges. ======================================================================================= PROFESSIONAL SUMMARY     Experienced in python data manipulation for loading and extraction as well as with python libraries such as NumPy, SciPy and Pandas for data analysis and numerical computations. Proficient in machine learning and deep learning skills for multiple applications including Computer Vision, Recommendation Systems and Natural Language Processing. Strong coding ability both in producing clean and efficient code as well as debugging and understanding large code bases. Highly skilled in using pandas, NumPy, Seaborn, SciPy, matplotlib, sci-kit-learn, NLTK in Python for developing various machine learning algorithms. ======================================================================================= EDUCATION MS in Computer Science — COMSATS University Islamabad, Pakistan CGPA: 3.96/4.00 - BS in Computer Science — University of Malakand, Pakistan- CGPA: 3.65/4.00 Research Thesis: Effective Detection of Lung Disease from X-ray Images Using CNNs and Various Architectures ======================================================================================= PROFESSIONAL EXPERIENCE Research Assistant- ComSens Lab, Comsats University Islamabad Currently 2 Research Papers Under Review Applied AI Lab: Deep Learning for Computer Vision https://www.wqu.edu/ - WorldQuant University Projects  Wildlife Conservation in Côte d'Ivoire – Used TensorFlow and PyTorch to track and analyze wildlife for conservation.  Crop Disease Detection in Uganda – Built an AI model for early crop disease detection using deep learning.  Traffic Monitoring in Bangladesh – Developed a real-time traffic analysis system for congestion and violation detection.  Celebrity Sightings in India – Implemented facial recognition to identify celebrities in public events.  Medical Data Analysis in Spain – Used AI for medical imaging and record analysis to improve diagnostics. AI/ML Intern --- https://ezitech.org/ 01/01/- Ezitech Institute Data Science Intern — https://internncraft.com Duration: 2 Months InternCraft  House Price Analysis and Prediction: Built a predictive model to analyze property prices using real estate datasets. Utilized data preprocessing, feature selection, and machine learning algorithms to achieve high prediction accuracy.  Coffee Shop Sales Analysis: Conducted sales data analysis to identify trends, evaluate product performance, and optimize business decisions. Provided actionable insights to improve operational efficiency. Lab Instructor Spring 2025 Shifa Tameer-e-Millat University Islamabad Labs: Programming for AI, Object Oriented Programming, Information Security Visiting Lecturer — Duration: Spring Semester 2023   Govt. Degree College, Lal Qilla, Pakistan Subjects Taught: Artificial Intelligence, Introduction to Programming, Computer Organization & Assembly Language Designed and delivered engaging course material and assessments, ensuring student participation and comprehension. ======================================================================================= PROJECTS      AI-Driven Medical Report Generation: A multi-task model for chest X-ray classification and medical report generation. It uses ResNet-50 for image feature extraction and T5 for generating reports. Lung Disease Detection Using CNNs: Developed a deep learning model to detect lung diseases from Xray images using convolutional neural networks (CNNs) and tested multiple architectures to improve model accuracy. Cyber Attacks Detection in Banking Using ML: Published research on detecting cyber-attacks in banking using machine learning, focusing on anomaly detection and predictive analytics. Parkinson Disease Prediction Using XAI: Applied explainable AI (XAI) techniques to predict Parkinson's disease, offering interpretability and transparency in decision-making, and utilized advanced machine learning models to improve prediction accuracy. Segmentation of Different Medical Imaging Modalities: Conducted segmentation of medical Imaging datasets across multiple imaging modalities, leveraging deep learning techniques to ensure generalization across diverse datasets. PUBLICATIONS 1. CN2VF-Net: A Hybrid Convolutional Neural Network and Vision Transformer Framework for Multi-Scale Fire Detection in Complex Environments o o Published in Fire (MDPI) https://doi.org/10.3390/fire- 2. Effective Detection of Lung Disease from X-ray Images Using CNNs o Published in Journal of Population Therapeutics and Clinical Pharmacology (JPTCP) o https://jptcp.com/index.php/jptcp/article/view/3329 3. Cyber Attacks Detection Through Machine Learning in Banking o o Published in Bulletin of Business and Economics (BBE) https://bbejournal.com/index.php/BBE/article/view/443 4. Two Papers Under Review ======================================================================================= CERTIFICATIONS & TRAINING  Machine Learning, AI & Data Science Online Course —  Data Analysis & Machine Learning Course —  AI Programming with Python — UDACITY (Sept 2022 – Feb 2023)  Neural Networks and Deep Learning — Coursera (May 2022 – Sept 2022) eHunar.org (Aug 2023 – Jan 2024) COMSATS University Islamabad (Feb 2023) ===================================================================================== SKILLS  Technical Skills: Machine Learning, Deep Learning, Computer Vision, Data Analysis, Image Segmentation and Classification, Disease Prediction Models.  Programming Languages: Python, C++, JavaScript, OOP Concepts  AI/ML Tools & Frameworks: PyTorch, TensorFlow, NumPy, Pandas, Sk-learn, Matplotlib, Seaborn.  Research & Analytical Skills: Literature Review, Research Paper Writing, Explainable AI (XAI)  Soft Skills: Critical Thinking, Problem-Solving, Communication, Time Management