Bishesh Dahal

Through project-based work, I’ve trained and deployed machine learning models as FastAPI REST APIs with Streamlit front-ends. I’m studying Data Science at Tribhuvan University and looking for a Data Science or ML internship.

For my Tourism Package Prediction project, I compared seven classification algorithms and tuned a Random Forest model to 93% test accuracy. I saved the final pipeline for deployment.

I built an SMS spam classifier using NLTK preprocessing and TF-IDF, then benchmarked nine classifiers. Multinomial Naive Bayes reached 100% precision, and I serialized the model for deployment.

My other projects include used-car price prediction, customer segmentation, and reusable classification comparison workflows. As a Data Science Club Member at SMS TU, I participate in club activities and help organize AI/Data Science and Power BI workshops.