About the role
Description-
A dataset is only as good as the cleaning behind it. Before any analysis can be trusted, someone has to decide which records are real, which are repeated and which are broken. The analysts who stand out are the ones who make those decisions visibly and can defend them.
Data Doyen, the analytics competition of Passion'26 at IMT Ghaziabad, puts teams in that position. Teams begin with a quiz on analytics fundamentals, move on to a business case built around a raw booking export, and finish by presenting a decision-ready recommendation to the judges. The competition rewards careful cleaning, traceable numbers and practical thinking over decoration.
Rounds Structure-
Data Quiz -
- Format: Online quiz of 15 multiple-choice questions to be completed in 10 minutes. Only the team leader can attempt the quiz.
- Objective: The quiz assesses general analytics concepts.
- Marking Scheme: Each correct answer carries 1 mark, each incorrect answer carries no negative marks, and unanswered questions carry no marks.
- Evaluation: Teams will be shortlisted on their quiz score. In the case of a tie, the team that took lesser time will be ranked higher.
Clean Sweep-
- Format: One-page PDF of up to 400 words, submitted by the Team Leader, with calculations in an XLSX file.
- Objective: Teams clean a raw dataset and turn the business case into a clear, data-backed recommendation.
- Task: Submit the cleaned dataset, the cleaning rules and log, answers to the six questions and a memo to management.
- Evaluation: Submissions will be evaluated on the accuracy of data cleaning, the clarity and traceability of the cleaning rules, the strength of the data-backed recommendation in the management memo, and adherence to the format and word limit.
Insight Room-
- Format: Pitch deck submitted on Unstop (PDF), followed by a 10-minute online presentation and 5 minutes of Q&A with the judges.
- Objective: Teams present their analysis as a complete, decision-ready recommendation.
- Task: 7 content slides, excluding the Introduction and Thank You slides, with traceable figures, stated assumptions and visuals that support the findings.
- Evaluation: Teams will be evaluated on the depth and accuracy of their analysis, the clarity and actionability of their recommendation, the effectiveness of their visuals, the quality of their presentation, and how well they defend their findings and assumptions during the Q&A.
Note: Teams are not allowed to mention the name of their institution, or use its logo, anywhere in their submissions or during the presentation.
General Rules & Regulations-
- All rounds will be held online.
- Multiple registrations by the same participant will lead to disqualification.
- In case of any dispute, the decision of judges and the organizing committee at IMT Ghaziabad will be final.