Welcome to episode 1 of our Ace Data Science Interviews podcast! In this episode, Kunal introduces the idea behind this concept and why we believe this podcast, and this platform, are more necessary than ever before. Kunal has conducted hundreds of interviews over the last 10+ years so who better to guide you on your data science journey?

We will also look at the top 3 mistakes data scientists commonly make in interviews. What an important topic to kick things off!

Episode #1: Top 3 Mistakes Data Scientists Make in Interviews

In this episode, we discuss 3 uncommon yet immensely useful tips to ace data science interviews.

Helpful article:
1. How to build a predictive model in under 10 minutes using Python (https://www.analyticsvidhya.com/blog/2015/09/build-predictive-model-10-minutes-python/)
2. How to build a predictive model in under 10 minutes using R (https://www.analyticsvidhya.com/blog/2015/09/perfect-build-predictive-model-10-minutes/)
3. 40 interview questions for interviews in a startup (https://www.analyticsvidhya.com/blog/2016/09/40-interview-questions-asked-at-startups-in-machine-learning-data-science/)

If you have any question, you would want to ask me - drop them at questions@acedatascienceinterviews.com

Episode #2: 3 Game-Changing Tips to Ace Data Science Interviews

Showcasing real-world projects in your resume is one of the biggest challenges aspiring data science professionals face. Where can you find these projects? How do you display your skills without having professional work experience in data science?

We cover these questions and more in this episode, and provide you with 4 ways to add real-world experience in your data science resume.

If you have any questions regarding this or any other data science interview related aspect, drop them at questions@acedatascienceinterviews.com.

Episode #3: Top 4 Ways to Showcase Real-World Data Science Projects

Did you know that data science managers reject candidates not because of a lack of knowledge, but a lack of structured thinking skills? That's right!

In this episode, Kunal discusses why structured thinking and communication is such a vital and sought after skill in a data scientist. A must-listen for all aspiring data science professionals. Resources:
ADSI Course: https://courses.analyticsvidhya.com/courses/ace-data-science-interviews
Structured Thinking article: https://www.analyticsvidhya.com/blog/2013/06/art-structured-thinking-analyzing/

Episode #4: Importance of Structured Thinking & Communication for Data Scientists

We are delighted to welcome Ines Montani and Matt Honnibal, the developers of spaCy - a powerful and advanced library for NLP. Everything you've ever wanted to know about the wonderful spaCy library is right here in the latest DataHack Radio podcast.

Highlights of topic covered:
- The idea behind developing spaCy
- spaCy's awesome evolution from the first alpha release to the current version 2.1
- Use cases of spaCy including a couple of surprising applications
- Ines and Matt's advice to NLP enthusiasts

Read the full article here: https://www.analyticsvidhya.com/blog/2019/05/datahack-radio-ines-montani-matthew-honnibal-brains-behind-spacy

Episode #23: Ines Montani and Matthew Honnibal - The Brains behind spaCy

This podcast aims at sharing best data science interview practices and answering data science interview related queries from our community.