I'm Ugyen Tshering, a final-year student at Albukhary International University, Malaysia, hailing from Bhutan. With a strong interest in data science, data analytics, artificial intelligence, and web development, I am committed to developing skills to analyze data, design intelligent systems, and create innovative web solutions, aiming to address real-world challenges through technology.

• 🔭 Currently working on: An Image Captioning System for visually impaired individuals, leveraging pretrained ResNet CNN, LSTM with attention mechanisms, Visual Question Answering, and Text-to-Speech integration.
• 🌱 Learning: Advanced deep learning architectures, AI agent development, and solving LeetCode problems in Python.
• 💬 Ask me about: Deep learning, Python, TensorFlow, or Streamlit web apps, Power Bi, Looker Studio.
• 📫 Reach me at: [email protected] | [email protected]
• ⚡ Fun fact: I am highly skilled at leveraging existing LLMs to their full potential, ensuring I get the best possible results

• Image Captioning using CNN-LSTM + VQA + TTS: Developing a web-based image captioning system that evaluates feature extractors, integrates attention mechanisms, and combines VQA and TTS to create a comprehensive and accessible assistive tool especially for visually impaired individuals.
• Precision Spam Detection Using Multinomial Naive Bayes: This project implements a machine learning-based spam detection system to classify SMS messages as either spam or ham (non-spam).
• YOLOv11 Training for PPE Detection on Construction Sites: This project focuses on training a YOLOv11 (nano) model to detect Personal Protective Equipment (PPE) in construction site images.
• Predicting Loan Defaults with Deep Learning: A deep learning model to predict loan default probabilities for the African Credit Scoring Challenge.
• Predicting Loan Defaults with Deep Learning: A deep learning model to predict loan default probabilities for the African Credit Scoring Challenge.
• AtliQ Hospitality Analysis - Power BI: As part of the September month Codebaiscs resume challenge, I have built a dashboard in Power BI to analyze three months sales data of different AtliQ hotels across four different cities.

Explore more on my repositories!

Thanks for visiting! Let's build something amazing together. 🚀