Kalash Jain

Worked on Predictive Analysis for the data acquired from the Infotainment systems of automobiles and processing it for data mining, drawing patterns and predictions using Tensorflow.

• Collecting huge amount of data captured by the sensors and infotainment unit of the car from the cloud.
• Preprocessing the data using python and machine learning modules.
• Applying deep learning model- LSTM for time series data and predicting the future events based on the pre-defined categories with a accuracy around 70%.

Worked on Requirement Analysis for IVI FOTA, Device Management for IOT architecture, User Management, and Systems Engineering.

Developed a system using Python for a visuomotor task in which subjects standing on a force platform must shift their weight to move a cursor on a screen to follow a target.

• The code was developed using Python using the module pygame.
• The experiment was like a real time game, where the controller was the force plate. The player would shift the body to follow the target.
• The targets were generated randomly, and the trajectory of the player was saved in a excel file for further calculations.