Laszlo Sragner
I run Hypergolic, a boutique consultancy in London specialising in Machine Learning Product Management.
Formerly I was Head of Data Science at Arkera, a fintech startup in London, where I built market intelligence products with Natural Language Processing for Tier 1 investment banks and hedge funds.
Prior to that, I worked in mobile gaming for King Digital (makers of Candy Crush), specialising in player behaviour and monetisation.
I started my career as a quant researcher writing trading strategies at multiple investment managers.
Sessions
Software engineering principles are frequently mentioned as a solution to data science's productivity problem. Unfortunately, rarely in a comprehensive format to be actionable or adopted for data-intensive use.
In this talk, I will present a framework that enables practitioners to structure their projects and manage changes throughout the product lifecycle at low effort.
Audience will also learn about a minimum set of programming concepts to make this a reality.
The key takeaway for any Data Scientist is that you don't need to be a master programmer to start taking care of your own codebase.