Nandhini Santhanam

Predictive Modelling for forecasting the Energy demand forecast for Daily operation and trip wise operation in Electric Driven Buses. •Successfully developed Machine learning pipeline starting from Data Cleaning , Data Preparation , Feature Extraction and Modelling

Successfully executed the workflow for Range prediction Data science product delivered by IBM and produced results for new data • Installed Hortonworks Data Platform in the cluster of 3 machines using the graphical user interface Ambari • Configured Hadoop and Spark in the Cluster using Ambari • Wrote a R script to fetch the weather data from the HERE Maps API • Created simple Power Bi reports for the results produced by PHD student

• Worked in CAN, UDS, Bootloader Development in Embedded C • Performed Full testing on the Diagnostic Basic Driver Package provided by the third Party supplier KPIT Cummins and reported the bugs in the Package delivered by them. • Implemented Basic CAN communication between EPAS(Electronic Power assist Steering) ECU and other ECU’s in the network according to requirement document provided by TATA. • Configuring the memory layout (RAM,ROM and FLASH MEMORY) in order to comply with OEM Requirements

ECTS - 1.5 Data Analysis , Data Mining , Multi Variate Data Analysis , Pattern Oriented Software ,Database System

CGPA - 9.55/10 One among the top 10 students on total of 120 student