KnowledgeQuarry: Data Science Challenge
KnowledgeQuarry: Data Science Challenge
Insights Unearthed, Stories Unleased.
A Data Science Challenge by Convoke 8.0, Cluster Innovation Centre, University of Delhi. Step into the world of data and discovery with KnowledgeQuarry.
Participants can choose between two exciting streams: the analytics track, where you mine insights through descriptive and inferential statistics to answer pressing questions, or the ML engineering track, where you build pipelines with trained models capable of real‑time predictions. In both cases, your findings must be presented through a dashboard — whether simple or advanced — and bonus points await teams that incorporate optimization or “what‑if” scenarios. Above all, this challenge is about telling a compelling story with data and communicating it effectively.
The initial phase of this event will involve an online screening round where the participating teams will be tested on their thought and design process, problem solving approach, basics and awareness of Data Science concepts and coding skills. The top teams clearing this round will move on to Path A, while the rest will have the opportunity to continue on Path B. Both tracks will involve a multi-day challenge for the teams to complete and submit their problem solution. Submissions should be made in the form of a dashboard and a presentation/report.
Path A: The final day will be held at DU CIC. At least one team member must be present at the venue to present their findings.
Path B: This track will be completely online. Submissions have to be made via a pre-designated channel.
Rules
Follow the Code of Conduct.
Insights Unearthed, Stories Unleased.
Runs from
Apr 1 - Apr 10, 2026
Happening
Delhi, India
Closes in
A Data Science Challenge by Convoke 8.0, Cluster Innovation Centre, University of Delhi. Step into the world of data and discovery with KnowledgeQuarry.
Participants can choose between two exciting streams: the analytics track, where you mine insights through descriptive and inferential statistics to answer pressing questions, or the ML engineering track, where you build pipelines with trained models capable of real‑time predictions. In both cases, your findings must be presented through a dashboard — whether simple or advanced — and bonus points await teams that incorporate optimization or “what‑if” scenarios. Above all, this challenge is about telling a compelling story with data and communicating it effectively.
The initial phase of this event will involve an online screening round where the participating teams will be tested on their thought and design process, problem solving approach, basics and awareness of Data Science concepts and coding skills. The top teams clearing this round will move on to Path A, while the rest will have the opportunity to continue on Path B. Both tracks will involve a multi-day challenge for the teams to complete and submit their problem solution. Submissions should be made in the form of a dashboard and a presentation/report.
Path A: The final day will be held at DU CIC. At least one team member must be present at the venue to present their findings.
Path B: This track will be completely online. Submissions have to be made via a pre-designated channel.
$791
Available in Prizes
$791
Available in Prizes
FAQs
Team size
1 - 3
Registration costs?
Nada.
Team size
1 - 3
Registration costs?
Nada.
Got more questions? Reach out to [email protected]
FAQs
Team size
1 - 3
Registration costs?
Nada.
Team size
1 - 3
Registration costs?
Nada.
Got more questions? Reach out to [email protected]
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