This is a group project as part of our coursework for Big Data Professor Rami El-Youssef
Project: Risk Analysis of Drivers in Trucking Company
Group members:
Siddhesh Sushya Sri Kalyan Teja Krishna Apurva Sai Lakshmi Harini Saketh Kumar Raunit Harshitha
Project Summary: PROBLEM STATEMENT • High number of injuries and fatalities resulting from heavy truck accidents in California. • High insurance rates due to the accidents. OBJECTIVES • Identify unsafe drivers by calculating risk factors using risk assessment metrics. • Analyzing the factors affecting risk for truck drivers using various parameters such as risk factor, location model.
Project Highlights
- Data Pre-processing (Hadoop, Hive, Impala, Pig, Spark)
- Exploratory Data Analysis
- Variable Transofrmation
- Tableau Visualization
- Insights
About the Data:
- The dataset was shared by the University for Analysis:
- The dataset included 100 drivers and their driving history over 5 years in various regions