Professional Overview
Emaan Arshad [contact hidden] | [contact hidden] | Karachi, Pakistan OBJECTIVE AI undergraduate seeking an internship to apply data analysis and machine learning skills. EDUCATION FAST - National University Of Computer And Emerging Sciences Aug. 2027 Bachelor Of Science in Artificial Intelligence • GPA: 3.6/4.0, Dean’s List Saint Lawrence Government Girls Degree College Mar. 2022 Intermediate (Pre-Engineering) PROJECTS Credit Card Fraud Detection – Model Regularization & Interpretability ▪ Built a PyTorch neural network for fraud detection using L2 regularization, class imbalance correction (SMOTE/ADASYN), and SHAP interpretability. ▪ Strengthened expertise in probabilistic calibration, model reliability, and combining statistical regularization with interpretability for robust AI. Image-Based Aesthetic Classifier – Representation Learning ▪ Developed a ResNet-based image classifier using Fast.ai for aesthetic style categorization with transfer learning and data augmentation. ▪ Learned advanced techniques in representation learning, feature encoding, and multimodal model deployment on Hugging Face. EXPERIENCE Universiti Teknikal Malaysia Melaka (UTeM) Jul. – Aug. 2025 STEM Summer Camp • Trained on Metaverse and VR-based tools to explore immersive environments for experimental applications such as virtual shopping, conferences, and education. House Of Education (JDC Foundation) Apr. – Jun. 2024 AI Integration Volunteer • Introduced and presented AI-based tools to educators, showing how to integrate them into teaching, assessment, and content creation. SKILLS & TECHNOLOGIES Skills: Deep Learning, Data Analysis, Machine Learning • Technologies: Pytorch- Fast.ai; Python-Pandas, Scikit, Seaborn, Matplotlib;Git; HuggingFace
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
