Anton

Background

Anton's background is in materials science, studying the atomic structure of piezoelectric ceramics. He was awarded a PhD from the University of Leeds in 2018 and continued as a Postdoctoral researcher until early 2021. During this time he used python for processing and visualisation of large datasets of X-ray diffraction data and designed techniques to extract novel insights from atomic models.

At Aire Logic Anton first worked in the Product team as a python developer. He worked on developing end to end ETL pipelines to display results and insights from forms4health on Kibana dashboards. On the Data Production team at NHSD Anton works as a Data Engineer using Databricks and Spark to generate health data extracts.

Technologies

• Python
• Scikit-Learn
• Matplotlib/Seaborn
• Postgresql
• Docker
• Spark
• Elasticsearch/Kibana
• Flask

Methods

• Exploratory data analysis
• Statistical techniques
• Data visualisation
• Supervised and Unsupervised learning
• Data pipelines
• Research and investigation
• Agile