Season three is here and we start it off with a brand new topic and featured guest, a rising speaker and blogger in the testing community, Laveena Ramchandani. Seven years ago she fell into testing, working in different industries from oil and gas to finance to consumer goods. Today she is exploring a new area: data science model testing.  

Currently, 80% of UK businesses are looking to hire a data scientist or seek data consultancy. So, someone needs to go in and validate those models! Listen to the episode to learn how to she's testing a data science model, the testing process her team follows, advice for anyone getting started in this area, and more!

Episode Highlights

- What is a data science model and benefits it can bring for a business
- Risks when testing data science models to be aware of
- How she plans her testing activities
-Skills needed to be a tester in a data science project and advice 

Check the transcript of the episode here and relevant links: https://abstracta.us/blog/podcast/testing-a-data-science-model/

S3E1 - Laveena Ramchandani - Testing a data science model

Making sense of software quality... that’s what testers aim to do and that’s what this podcast is all about. Join Abstracta COO, Federico Toledo, PhD as he dares to interview some of his role models and industry leaders who are awesome at what they do to get advice that can help us be better testers and enable our teams to create higher quality software. 

Expect insights on today’s most pressing topics and good practices from the creators and collaborators of your favorite software testing tools, methodologies, conferences, etc. An Uruguayan in Silicon Valley, you’ll also hear Federico share his views from over 15 years of training testers and working with clients like CA Technologies and Shutterfly.

S3E1 - Laveena Ramchandani - Testing a data science model

Quality Sense, a Software Testing Podcast