The challenge: Our customer wanted to jump start and grow their data science and advanced analytics capability.
The solution: We designed a production-grade data lake and constructed ELT pipelines to create data assets by integrating large multi-billion row datasets from diverse sources and formats. We built advanced machine learning models to deliver value via analytical insights, proofs of concept and visualisations across the business, from front line managers to C-level stakeholders.
Technologies: Python, deep learning, natural language processing, entity resolution, data quality.
Results: We grew the data science team to over 50 people within 12 months, including upskilling almost a dozen existing staff, delivered multiple POCs and identified several opportunities for seven-figure operational savings or improvements.