Michał J. Gajda
Michał J Gajda is a bioinformatician turned data scientist, turned banker, turned software startup founder. He loves to mix the best of science and programming methodology into tasty dishes of ultimate utility.
Michał J Gajda is a bioinformatician turned data scientist, turned banker, turned software startup founder. He loves to mix the best of science and programming methodology into tasty dishes of ultimate utility.
I'm speaking at...
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Haskell eXchange 2022: Online Conference
Two days - Online Conference
We're thrilled to once again welcome the global Haskell community to join the Haskell eXchange conference via our virtual conference platform, where across 2 jam-packed days, you'll connect with like-minded Haskellers and learn new skills through practical, coding-based sessions.
software-development haskell ghc functional-programming -
Haskell eXchange 2022: In-Person Conference
Two days in London
We're thrilled to once again welcome the Haskell community to CodeNode in London, where you'll meet hundreds of like-minded Haskellers face-to-face, discuss new technologies, and learn new skills through practical, coding-based sessions, as we explore what's new and what's next in...
software-development haskell
Talks I've Given
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Agile Functional Data Pipeline in Haskell: A Case Study of Multicloud API Binding
Featuring Michał J. Gajda
In this case study, Michał discusses making a data pipeline for multicloud API bindings in Haskell for analysis and Python for scraping. He'll introduce a few rules settled on along the way that allow for blinding fast development of agile data analytics.
haskell data-analytics case-study python api-binding multicloud -
Lightning Talk: Making and Testing Code Generators in Haskell
Featuring Michał J. Gajda
Michał and the Migamake Pte Ltd team are currently making an open source library to help produce code generators in Haskell. It facilitates generating code with syntax-checked templates and unit testing with smaller and more robust tests Michał will go through code generation approaches seen in...
haskell generators -
Automating Elaborate-Transform-Load for Busy Data Scientists
Featuring Michał J. Gajda
Haskell is making great strides into processing data at greater convenience. You do not only have fast parsers for most important languages, but now automatic parser generators that discover the structure of our documents and package them as Haskell types: DataFrames, JSON Autotype, XML TypeLift....
data haskell parsing csv etl metadata ingest xml json bigdata analytics datascience