Tejutkarsh Singh

Recent Computer Science graduate with a strong foundation in data science, machine learning, and statistical analysis. Built and deployed multiple end-to-end data science projects, including predictive models and data visualization dashboards, demonstrating strong problem-solving and analytical skills.

• Face Recognition System -

Designed and developed a face recognition system with 83% accuracy for my final year thesis. Developed a deep learning pipeline using MTCNN for face detection and FaceNet for embedding generation, leveraging facenet_pytorch and deployed an interactive application with streamlit enabling real-time face recognition.

Link: http://dx.doi.org/10.13140/RG.2.2.17163.14887

• Multi-Class Dog Classification -

Developed a CNN model (MobileNet) using TensorFlow for Kaggle's Dog Breed Identification competition, achieving 75% accuracy in classifying 120 dog breeds.

Link: https://colab.research.google.com/drive/1mwQ7lE_tMAAOP0yWg3aD5xvXezJs_5Lp?usp=sharing

• Machine Learning Bootcamp - Udemy, 2025
• Supervised Learning - Deeplearning.ai, 2025
• Advanced ML algorithms - Deeplearning.ai, 2025