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Harshil Vasani

Bis 2024, Master Thesis Student, Volkswagen Group

Fähigkeiten und Kenntnisse

Automotive Design
Automotive Engineering
Advanced Driver-Assistance Systems (ADAS)
Automotive Equipment
Continuous State space
Analytical Skills
Autonomous Vehicles
Deep Q
Leadership
CANoe
Anomaly Detection
Engineering
Classification
Learning
Ansys Mechanical
OpenCV
Linear Regression
Clustering
English
Autodesk Inventor
Collaborative Filtering and recommender system
Linux
Python (Programming Language)
feature scaling
Computer Science
Logistic Regression
PyTorch
Focussed
Machine Learning
Computer-Aided Design (CAD)
Recommender Systems
Gradient Descent
MATLAB
Simulink
regularization to avoid overfitting
image labelling
Neural Networks
Software Testing
Regulrization
Integration and verification
Object-Oriented Programming (OOP)
Supervised machine learning
Integration and Verification(CI/CD)
Reinforcement Learning
Technical Requirements
On-board Diagnostics
Thinking Skills
Research Skills
Technical Support
Ubuntu
Sensors
Temperature Measurement
Unsupervised Learning
TensorFlow
Siamese Architecture
Vehicle Architecture
Test Automation
Vehicle Dynamics
Vehicle Safety
Test-Case Validation
Vehicle Sensor and Technology
Thermal Analysis
Vehicle Testing

Werdegang

Berufserfahrung von Harshil Vasani

  • 8 Monate, Apr. 2024 - Nov. 2024

    Master Thesis Student

    Volkswagen Group

    "Neural-Network based method for Automation of scenario based test case validation"

  • 1 Jahr, Dez. 2019 - Nov. 2020

    Technical Team Member

    Morris Garages India

    Vehicle Safety, battery ,Hybrid-drive, Park-Assistance system, Lane Detection, Engine Auxiliary System, Vehicle Dynamic, Vehicle Electronics, Steering system, Vehicle Sensor and Technology.

  • 2 Monate, Apr. 2018 - Mai 2018

    Constructor and Simulation

    Hyundai Motor India Ltd.

Ausbildung von Harshil Vasani

  • 2021 - 2024

    Master's degree

    Technische Hochschule Ingolstadt

  • 2015 - 2019

    Bachelor of Technology - BTech

    Uka Tarsadia University

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