45 min

S03E05 - Code quality for data science - with Laszlo Sragner Half Stack Data Science

    • Technology

In this episode, we continued our season of talking to data educators and spoke to Laszlo Sragner.

Laszlo runs Hypergolic, a boutique consultancy in London specialising in Machine Learning Product Management.

Formerly, he was Head of Data Science at Arkera, a fintech startup in London, where he built market intelligence products with Natural Language Processing for Tier 1 investment banks and hedge funds.

Before that, Laszlo worked in mobile gaming for King Digital (makers of Candy Crush), specialising in player behaviour and monetisation.

He started his career as a quant researcher implementing trading strategies at multiple investment managers.

We talked to Laszlo about consulting in the area of machine learning, what data scientists can learn from software engineers, how to upskill data scientists to be better programmers and make programming their craft, and of course how AI tools will impact all of this.

You can find Laszlo online:


On LinkedIn: https://www.linkedin.com/in/laszlosragner
In the Code Quality 4 Data Science community: https://cq4ds.com
Laszlo's company, Hypergolic: https://hypergolic.co.uk
Laszlo's newsletter, "Deliberate Machine Learning": https://laszlo.substack.com

In this episode, we continued our season of talking to data educators and spoke to Laszlo Sragner.

Laszlo runs Hypergolic, a boutique consultancy in London specialising in Machine Learning Product Management.

Formerly, he was Head of Data Science at Arkera, a fintech startup in London, where he built market intelligence products with Natural Language Processing for Tier 1 investment banks and hedge funds.

Before that, Laszlo worked in mobile gaming for King Digital (makers of Candy Crush), specialising in player behaviour and monetisation.

He started his career as a quant researcher implementing trading strategies at multiple investment managers.

We talked to Laszlo about consulting in the area of machine learning, what data scientists can learn from software engineers, how to upskill data scientists to be better programmers and make programming their craft, and of course how AI tools will impact all of this.

You can find Laszlo online:


On LinkedIn: https://www.linkedin.com/in/laszlosragner
In the Code Quality 4 Data Science community: https://cq4ds.com
Laszlo's company, Hypergolic: https://hypergolic.co.uk
Laszlo's newsletter, "Deliberate Machine Learning": https://laszlo.substack.com

45 min

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