The Data Standard

Data extraction? with Daniel Deychakiwsky
Daniel Deychakiwsky, Senior Machine Learning Engineer at Spotify sits down with TDS to discuss data extraction.

Episode Summary

Data, data, data — it’s long been a buzzword in the industry, whether big data, streaming data, data analytics, data science, even AI & machine learning — but data alone is not enough: it takes an entire system of tools and technology to extract value from data.

We have access today to more data than ever before. The question is: how do we make the most of it? For many, the biggest challenge lies in finding a data integration tool that can manage and analyze many types of data from an ever-evolving array of sources. But before that data can be analyzed or used, it must first be extracted. In this episode, guest Daniel Deychakiwsky sits down with TDS to discuss data extraction and digital signal processing.

Meet The Host

Shayna Weldon

Podcast Host at The Data Standard

I aspire to broadcast content that carries my curiosity for the world and captivates an audience. I was driven to engineering by my passion for problem-solving, but I realized that while I enjoy the challenge of analytical work, I belong in an industry focused on relationships. I want to connect industry leaders, teachers, and athletes that make our world so unique and present their insight to the public. I have a natural inclination to reach out to people and hear their stories and I will exploit this desire for the rest of my life.

Meet The Guest

Daniel Deychakiwsky

Senior Machine Learning Engineer at Spotify

I'm an engineer passionate for solving real world problems with applied artificial intelligence. I'm currently enjoying the intersection of deep learning, reinforcement learning, and digital signal processing.