Hi, this is Shubham, from India. My current interests lie in Network Science and Machine Learning. I have good experience working with the graph(network) data. Previously, I interned at Queen Mary University of London, UK, and currently at Universitat Rovira i Virgili, Spain. I aspire to use my skills and knowledge in Data Science to improve the quality of human life and contribute to solving global socio-economic challenges.

Personal information
Full name: Shubham Dubey
User name: shubhamdubey2111
Organization memberships
Not a member of any organization.
Awards
First 1000 volunteers
Volunteer background
Education: Bachelor's on Information Technology (None)
LinkedIn profile
Github profile
Volunteer availability
Start date: None
End date: None
Hours available per week: 35
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Python
C/C++/C#
Computer Science (Algorithms)
JavaScript
Data in Text Files
Network/Graph Data
SQL
Text Data (NLP)
Social Science (Economics, Sociology, etc.)
Experience working on real-world problems using data
Data Visualization
Data Analysis
Decision Trees
Neural Networks / Deep Learning
Unsupervised models
SVMs
Random Forests
Graphical models
Matlab
R

Volunteer projects

Project name Organization name Social impact area Project summary Task name Task status
GraphLab and IDDP Mapping the Spread The George Washington University School of Engineering and Applied Science Education Dr. Howie Huang’s GraphLab, together with Dr. David Broniatowski and IDDP (Institute for Data, Democracy, and Politics) researchers, is working to map the prevalence and spread of attitudes towards COVID-19 on online social media platforms. They are examining repositories of social media data related to the epidemic, starting as early as January 2020, to map the spread of discussion, information, and attitudes towards the disease and the public health response to the outbreak. Project scoping Pending review