Here is a list of the projects that I am engaged in:
Natural Language Processing
- Abstractive Summarization of Nepali News Articles (Status: Ongoing)
I recently started this project and am currently developing a dataset by scraping news websites to perform the deep learning on.
Abstractive Summarization, Natural Language Processing, PyTorch, Python
- Prediction of Energy Consumption of Buildings (Status: Finalizing)
This is the machine learning project that I carried out for a third semester module called Machine Learning Lab for my data science master. I am in the process of reorganizing the code files for better readibility.
Gradient Boosting, Catboost, Python
I am a tutor for two courses at Leuphana Universität Lüneburg:
- Software for Analysing Data (MSc. Management & Data Science)
This is an R and Python course for first semester data science students. Starting this Winter Semester (2020) I primarily cover the Python portion of the tutorial.
Python, R, Data Analysis, Machine Learning
- Statistics & Mathematics (BSc. Sustainability Science)
This is a first semester statistics course where I cover topics related to descriptive and inferential statistics. Students get a first experience in using R to perform statistical tests and basic data analysis.
R, R Studio, Descriptive Statistics, Inferential Statistics
Here is the Github Repository for all my teaching related contents.
These are some projects that I did just for fun or in order to learn a particular method/knowledge:
- beepy (Status: Deployed)
This is a Python 3 package that allows users to play notification sounds. It is intended to be used when you are running a long analysis in the background and want to know when it is ready.
- Project Goals:
- Learn how to create a pip-installable Python package.
- Create something similar to an R package called “beepr”.
- Project Goals: