Guilty by Data

Team Name: Midnight Sons

Participants:

• Moiz Ali Siddiqui
• Talha Ahmad
• Syed Ayaan Nadeem

Department: Computer Science / Software Engineering
Category: Data Analytics, Python Programming, Investigative Computing, Problem Solving

Forum Where Registered / Performed / Displayed etc:

The project was presented at Developers Day 2026 hosted by FAST University, where students from leading universities including FAST University, Bahria University, Habib University, SZABIST, Iqra University, and other institutions participated in competitive technical and analytical modules.

The team competed in the module titled “Guilty by Data” and secured a winning position, contributing to IoBM’s achievements at the event.

Status: Completed / Winning Project

Field of Use:
Data Analytics, Data Cleaning, Pattern Recognition, Investigative Analysis, Python-Based Computing

Brief Activity Report:

A billionaire, a body, and no witnesses—welcome to The Ashworth Affair. In this crime scene full of lies, the killer is hidden in the data. Hidden in the records are patterns, transactions, and messages that tell the real story. This is not a test of intuition; it is a test of your core data analytics skills. Trust the logic, not the noise, because one lazy filter will let a killer vanish into the static. This module is a 2-hour data analytics challenge where teams of 2 to 3 investigators use Python (via Visual Studio or Jupyter Notebooks) to solve three progressive cases. Participants must clean datasets, identify suspicious patterns, and analyze financial or behavioral records to narrow down a suspect pool. Unlike the Vibe Coding module, all external AI tools and internet searches are strictly prohibited. The ultimate objective is to connect every data trail and correctly identify the killer.