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D R Raghuram edited this page Apr 11, 2020 · 8 revisions

Welcome to the QuestAlliance wiki!

Quest Alliance is a non-profit organization that equips young people with 21st century skills by enabling self-learning. The organization works on designing scalable solutions that enable educators to address critical gaps for quality education & skills training.

Quest Alliance nodes / programs:

  1. MyQuest : Youth program at Quest Alliance. With as many as 4 million youngsters between the ages of 15 and 29 set to enter the workforce each year for the next two decades, there is a pressing need to direct efforts towards enabling them with skills to make them more future-ready. Working in 22 states, with 30 partners over 2.5L youth have been trained from 110 vactional training institutes & 360 industrial training institutes.

  2. Secondary School: Working with over 8 state govts for the next 3 years, Quest Alliance in association with IBM plans to work with 1200 government schools, 2L girls to create awareness about STEM education, critical thinking, gender awareness.

  3. Anandshala: Working mostly in the state of Bihar, with over 990 schools to prevent school drop-outs by working closely with the cluster resource personnel to strengthen the school management to ensure sustainability.

  4. Capacity building: Leads capacity building and training for educator professional development. 611 trainers graduated, 253 women trainers, 21 states and 108 organizations.

About this project

MyQuest, which is a youth program would benefit from understanding the region wise trends on the kind of blue collar jobs posted on the portals. Are there any gender preferences across sectors? What kind of skills do these jobs ask for? Any insights we can gather from this data can help in understanding the demand side better, which will help in sharpening the curriculum used by the students from their vocations & trades accordingly.

  1. Web scraping from job portals such as https://www.ncs.gov.in/
  2. Raw data has already been pulled from the aforementioned websites - Insights to be gathered from this
  3. Issues in the existing datasets: No date of posting available.
  4. Open questions: Can we predict how many vacancies or postings across sectors based on historical data? Can we see if there are seasonal trends that may be observed across different sectors?
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