Hello World ✌🏻

I am Ayush. I am a student, a teacher, and a practitioner of data science.
Here I blog/jot/dump/scatter ideas/muses/learnings/experiences on all things data and software.

I am based in Nepal 🇳🇵 and I currently work as a Staff Data Scientist 📈👨‍💻 at Cloudfactory. I recently graduated from Georgia Institute of Technology 🐝 Analytics program (focusing on Computational Data Analytics and Machine Learning). I am also building a data community in Nepal via Code for Nepal. When I am AFK, I am lifting weights.


Posts


This is my note for CS6750. The learning goals are to understand the common principles in HCI, design life cycle, and importance of iteration, current applications of HCI, and where it is heading. And the expected learning outcomes are to design effective interactions between humans and computers, design: applying known principles to a new problem and interactive processing of needfinding, prototyping and evaluation, effectiveness: usability, research, change, design interactions, not interfaces (shift on emphasis).
Goodreads is a social networking site for book lovers that allows users to create profiles, rate and review books, and connect with other readers. Goodreads also provides a platform for authors and publishers to promote their books and interact with readers. One of the key features of Goodreads is the bookshelf, which allows users to organize their reading lists and track the books they have read, want to read, and are currently reading. Users can create multiple bookshelves and customize them with different names and themes, such as 'favorites,' 'classics,' or 'summer reading.' Goodreads is a valuable resource for book lovers to discover new books, connect with like-minded readers, and keep track of their reading progress. However, there are some areas for improvement
Code for Nepal's partnership with DataCamp Donates has been a success story in their effort to increase digital literacy and access to technology in Nepal. The Code for Nepal Data Fellowship provides fellows with access to interactive courses (via DataCamp) in data science, analytics, and programming, a supportive community, and experienced mentors. Alumni reported that DataCamp helped them learn or enhance their programming skills, gain SQL skills, and learn important concepts in data manipulation, visualization, and machine learning. The partnership with DataCamp has been a valuable resource for individuals interested in data science, engineering, and analysis, providing them with the necessary tools and knowledge to succeed in these fields.
CITI (Collaborative Institutional Training Initiative) is a program that provides training on ethical and regulatory issues related to human subjects research. CITI training for Social/Behavioral Research Investigators and Key Personnel covers the ethical and regulatory issues specific to social and behavioral research involving human subjects.