Data might be abundant these days but extracting it can be a laborious, time-consuming process. I write programmes that automate the collection of data using methods such as web scraping. I also compile customised datasets, including data labelling, to feed your machine-learning projects.
In its raw form, data is not directly useful. I transform data to make it accessible and ready to use in line with your needs. My services include database management, API development and data wrangling. I make sure that your data is safely stored, well organised and formatted for effective use and analysis.
Data rarely speaks for itself. I conduct exploratory analysis to uncover the potential of your data and develop ideas for possible applications. Using analytical methods and visual tools, I summarise the main characteristics of data and find relevant patterns. Your projects can now advance with a firm understanding of the underlying data.
The central objective of my work is to help you learn from data and make better decisions based on evidence. I use statistical methods and machine learning to produce meaningful and actionable insights. My work also covers the analysis of text data through natural language processing.
Achieving meaningful impact in organisations and beyond requires linking analysis with action. As a full-stack developer, I integrate data science with web development so that knowledge gained from data can be used by all relevant actors and contribute to real change.
The success of data-centred projects builds on clear communication. I promote understanding of complex issues, build coherent narratives and present recommendations in written reports and with visualisation tools. Building trust and dialogue around data-driven change, I contribute to the sustainability of your projects.