Visit my page at: https://laujohansson.github.io/
A danish data engineer. Interested in data science. Specialized in data analysis and deep learning.
Currently working with Microsoft Azure and Azure Databricks.
Contributing to open-source dataplatform python tools - atc-dataplatform and spetlr.
Publish your development workspace to test and production. This contributes with two (on that time) missing Synapse features:
- Azure Pipeline YAML: Automatic pipeline for publishing development -> to test and prod. Find the pipeline template here and the pipeline here.
- Initialize-SynapseParameters.ps1: A script to parameterize the Synapse paramters. Either by using individual environment specific .json files or string-replacements. Find the script here.
The repositories on my Github mainly contain deep learning projects.
- Natural language processing - Friends Manuscript Generator (PyTorch)
- Variational Autoencoder LSTM - Anomaly detection: Detecting road defects (PyTorch)
- Image segmentation of Lung CT's using CNN and UNET (PyTorch)
- Generative Adversarial Networks - Converting horses to zebras and generating fake handwritten digits (PyTorch)
- Convolutional Neural Networks and Sliding window - Classify hotdogs and not-hotdogs. Detecting house street numbers (PyTorch)
- Topic Modelling and FFNN - Predicting customer churn at brazillian e-commerce Olist (Keras)
- Probalistic Graph Model (Linear Dynamical System) - Predicting Covid19 (NumPyro)
Data science projects at https://laujohansson.github.io/
Me and some of my fellow students have made several data science projects.
Check it out at https://laujohansson.github.io/.
Check out the repository contains materials used on our main website here
You can reach me at my LinkedIn profile.