krishnakaushik25 / cascade_cup_2022

Cascade_Cup_2022

IIT Guwahati's Consulting and Analytics Club in association with Shadowfax conducted Cascade Cup'22 during the month of February 2022. Our Team Brute_Force secured 1st place in the cascade cup competition among 1000+ teams.The competition was conducted in 3 rounds, each being eliminatory.

• Round 1: Data Science Quiz
• Round 2: Machine Learning Hackathon
• Round 3: Data Analysis Report

In this repo, we have published our work from the 2nd and 3rd round.

Round 2: Machine Learning Hackathon

The hackathon was hosted on Kaggle platform.

Background:

At Shadowfax, part of the business includes delivering food orders from clients such as Swiggy and Zomato to customers. The typical order flow goes something like this:

• A client creates the order in our system
• The order gets allocated to a rider
• The rider accepts the order
• The rider goes to the pickup location
• The rider picks up the order
• The rider goes to the delivery location and delivers the order

The rider also has the option to get the order cancelled before delivery by calling the client’s call centre. We would like to predict this kind of cancellation before it happens so that we can try and reassign the order to another rider before it gets cancelled.

Problem Statement:

Given the order and rider details as described below, create a model that can predict rider-driven cancellation in advance (i.e. before getting marked as cancelled or delivered).

Round 3: Data Analysis Report

Given the dataset, the task is to compile a detailed Data analysis report based on the dataset. Use graphs to make as many significant inferences and relationships as possible.

THANK YOU