Aspiring Data Scientist | Passionate About Machine Learning & Data-Driven Innovation
I'm a passionate IT student currently studying Bachelors of Science in Computer Science and Information Technology at (Swastik College) Tribhuvan University. With a strong interest in Data Science and Machine Learning, I've built a solid foundation in data analysis, statistical modeling, and Python-based development. I enjoy working with data to uncover patterns, build predictive models, and solve real-world problems. I'm eager to apply my data-driven skills to meaningful projects and continue growing in the field of AI and Data Science..
Bone fracture detection using XGBoost works by preprocessing X-ray images, extracting key features, and training the model to classify fractured vs. normal bones. XGBoost combines multiple decision trees to learn patterns more accurately, allowing it to detect fractures in new images with high reliability.
Sentiment analysis of the Nepali language using SVM involves classifying text into positive, negative, or neutral sentiments by training a Support Vector Machine on labeled Nepali text data. It uses features like TF-IDF to capture textual patterns for accurate prediction.
This project uses unsupervised machine learning to analyze the Red Wine Quality dataset, applying methods like K-Means and PCA to uncover hidden patterns and naturally group wines based on their chemical features—without relying on quality labels.
Specialization in Software Development. Relevant coursework includes Data Structures, Algorithms, Web Development, Database Systems, and Computer Networks.
Graduated with honors.
Completed the Data Science Certificate from Evolve IT Hub, gaining practical knowledge in data analysis, visualization, and machine learning techniques. Developed skills to apply data-driven solutions to real-world problems..
I'm currently looking for internship opportunities and would love to hear from you. Whether you have a question or just want to say hi, I'll do my best to get back to you!