Python for AUTOMOTIVE Engineers

Vaisakh Venugopal (~vaisakh)


Description:

Chennai is nicknamed "The Detroit of India", with more than ⅓ of India's automobile industry being based in the city. This is the exact reason to talk about the use of python in the Automotive Industry. Nowadays the popularity of Python programing language is getting increased in the automotive world globally. Especially the cars are not connected to the internet and essentially all cars are moving computers.

In this talk, I will be talking about how to start with Python for the mechanical guys. I will talk about how easy to use python as well as efficiency improvements we observed in using Python in our daily data analysis workflow. Traditional tools lack efficiency and reusability. Python helps to reuse code, data pipeline.

The example will be about analyzing data of a connected vehicle using python. The demo will be done with a private dataset and using Jupiter notebook. Automotive engineers aspiring to be use python in Chennai are the primary audience. Moreover, the Python developers & data scientist will also get a good view of use cases in the automotive industry for Python.

Prerequisites:

1- Genaral understanding of vehicles, vehicle data points 2- Awareness of any programing language and methods 3- Knowledge of data science and the connceted vehicle will be a great advantage, not mandatory.

Content URLs:

Link to the draft presentation: https://docs.google.com/presentation/d/1DzqdhEZDRuFzbFW6e32q3MvbBziOkkoIB_SCvPe-lqY/edit?usp=sharing

Speaker Info:

I am an automobile engineer turned data scientist. Currently working as a Product Innovation Leader in one of the German tier one component manufacturer. I learned python & data science from online resources. I have published 2 technical papers on the application of Machine Learning in automotive scenarios. My go-to programing language is Python.

Speaker Links:

Linkedin: https://www.linkedin.com/in/venugopalvaisakh/

Section: Others
Type: Talks
Target Audience: Beginner
Last Updated: