**Profile Information**
**Name :** Ekemini Okpongkpong
**Github:** https://github.com/KemmieKemy
**Medium:** https://medium.com/@kemmie
**Location (State, Country) :** Akwa Ibom, Nigeria
**Time Zone :** (UTC + 01:00) West Central Africa
**Typical working hours (include timezone) :** 9 AM - 4 PM (UTC + 01:00)
**Synopsis**
Wikimedia is a global movement whose mission is to bring free educational content to the world, via Wikipedia and other projects.
The aim of the project is to Create Machine Learning datasets to measure content reliability on Wikipedia with the following objectives;
- Research, gather and process Wikipedia related data about articles content reliability.
- Detect crowd-generated tags or labels currently used by the Wikipedia editors and developers
- Signal problems with content integrity on Wikipedia to other editors.
- Characterize the content, select the most relevant ones.
- Create machine readable datasets that will allow ML systems to detect problematic content potentially automatically
**Outreachy Internship Project Timeline**
**| Period | Task**
|-----------|-----------|
| November 24th to December 1st | Community Bonding Period
| December 2nd to December 9th | Gather and process Wikipedia related data about articles content reliability
| December 10th to December 17th | Understand the concept of semi-automated methods
| December 18th to December 24th | Explore the space of templates related to content integrity using semi-automated methods
| December 25th | Christmas Day
| December 26th to January 2nd | Document progress in the First Month
| January 3rd to January 10th | Download and process articles and sections with the found templates
| January 11th to January 18th | Download and process articles and sections with the found templates
| January 19th to January 26th | Test the datasets by running different ML algorithms
| January 27th to February 2nd | Document progress in the Second Month
| February 3rd to February 10th | Analyze the data to summarize the main statistics
| February 11th to February 18th | Produce the statistics and data properties
| February 19th to February 26th | Visualize the statistics and data properties
| February 27th to March 2nd | Finalize and review the project, document overall Outreachy experience
**About Me**
I graduated from Akwa Ibom State University, Nigeria with a Bachelor of Science (B.Sc) degree in Computer Science.
My Open Source journey began this year during the Women of Open Source Africa (WOSCA) Launch Practical Session, I made my first open source contribution on github to the [[ https://github.com/firstcontributions/first-contributions | First Contributions ]] repository. Then during [[ hacktoberfest.digitalocean.com/ | Hacktoberfest ]], I successfully completed the Hacktoberfest Challenge by making 4 pull requests and I also made one of my repositories on github Open Source for other developers to contribute to.
I learnt Data Science first online by following courses an Dataquest and Datacamp. I also participated in the first cohort of [[ https://www.shecodeafrica.org/ | She Code Africa ]]'s Mentoring Program (Data Science track) where I was assigned to a mentor who was a professional in the field and I was given weekly tasks and resources. I also write articles on my Medium blog.
I believe that these skills and knowledge will be valuable to this project.