AYAAN NAQVI

Second-year B.Tech student at Delhi Technological University, passionate about Artificial Intelligence and Data Science. Strongly interested in exploring neural networks and their applications across fields like computer vision and predictive modeling. Currently gaining hands-on experience through academic research and projects. Seeking a summer internship to apply my foundational knowledge and further specialize in deep learning and real-world AI systems.

English (Fluent), Hindi (Native)

• Crop Yield Prediction Model, 11/01/24, Developed a machine learning model using Python and scikit-learn to predict crop yield based on historical weather and soil data. Focused on data preprocessing, model selection, and interpretability to improve agricultural decision-making.
• Research on Image Forgery Detection using Deep Learning, 01/01/25 - Present, Assisting a Machine Learning professor at DTU in a research paper on detecting tampered images using deep learning. Involves applying CNN architectures (e.g., ResNet-18) to learn spatial irregularities in forged content. Research strengthens understanding of neural networks and their role in forensic image analysis.
• MNIST Digit Recognition using CNNs, 12/01/24, Built a convolutional neural network (CNN) using Keras to classify handwritten digits from the MNIST dataset. Gained insights into image preprocessing, convolution layers, and model evaluation.

• Co-Head, PR & Corporate, E-Cell DTU, 09/01/24 - 02/01/25, Led PR and corporate outreach for E-Summit 2025, which attracted 50,000+ attendees and major sponsors. Managed a team of 15+ junior members, overseeing communication, scheduling, and deliverables for the event.
• Executive, DTU Consulting Group, 08/01/24 - Present, Contributed to strategy and outreach for student-led case competitions and research initiatives. Worked with teams on data-driven projects requiring structured thinking and problem-solving.