Krupesh Raikar

Big Data Analytics in Automotive Logistics

Master Thesis – Big Data Analytics in Audi Production (A-Montage) Collection and analysis of data from Data Lake (Hadoop, Hive, SQL, PySpark) Application of the CRISP-DM methodology for generating analytical solutions Data analysis and transformation using Python and implementation of Machine Learning Creating Business Cases/Use Cases and visualizations by using Dashboards in Tableau

Data processing & analysis of variant manufacturing code large datasets Visualize, analyze, and report data generated from variant test simulations Understanding data correlations using Machine Learning tools Support for development of large data extraction tools using Python & MySQL

Created use cases for HIL testing of smart chargers of Electric Vehicles Extract and transform charging behaviour data Statistical analysis of device charging behavior based on various parameters Developed a visual interface for monitoring of device status

Oversaw vehicle electrical development projects Managed a team of 8 people for the complete project life from concept to completion Developed new concept for vehicle fuse-box thereby reducing the existing cost by 5% Visualized complex vehicle data by creating interfaces using VBA Data analysis and rapid benchmark comparisons done to implement solutions Coordinated regularly with R&D teams from Europe, Japan & USA

Business Simulations, New Technologies & Innovation, Automotive Management