Nishant Pavaskar

Model-based Developer. Functional development of adjustment systems.

Noise-Vibration-Harshness analysis for Aftersales diagnosis.

Modeling and validation of HV battery cells

Model-based software development for powertrain and engine control modules.

1. Supervised learning: Finding donors for CharityML using RandomForest Classifier. 2. Deep learning: Flower image classifier using the MobileNet Neural Network. 3. Unsupervised learning: Identify customer segments using PCA and KMeans clustering.

Automotive Electronics and Simulation, Mathematical Data Analysis, Sensor Technology, Design of Experiments, IoT, Computer Based Measurement Technology. Project: Statistical analysis (difference of means and variances) on acceleration data for the detection of wheel imbalance. CGPA / Note: 1.6

Embedded Systems and RTOS, Digital Signal Processing, Automotive Embedded Systems, VLSI Design, Electronic Product Design. Project: Driver assistance system - Signboard detection and signal tracking using RF transceivers, blind spot detection, adaptive headlights, and driver alcohol detection.