Led the development of a SaaS-based data analysis and exploratory tool, designed to make data mining accessible to non-experts. The platform combined human intuition for pattern recognition with artificial intelligence to extract meaningful insights from complex datasets.
Key Responsibilities and Achievements:
- Spearheaded the entire product lifecycle, from initial vision and business case creation to successful delivery over a 3-year period
- Managed development teams and led product strategy, UX design, and user story creation
- Orchestrated experiments in data models, data architecture, and gamification to enhance platform capabilities
- Collaborated closely with end-users to refine and improve user interactions
- Engaged with diverse stakeholders, including government data analysts, developers, data scientists, and researchers
- Delivered the project on time and within budget, meeting all key objectives
Technical Highlights:
- Oversaw the development of a robust backend using GO, PostgreSQL, Cassandra, Hadoop, and Redis
- Integrated various web-based JS libraries for an intuitive frontend experience
- Successfully incorporated and analyzed over 14,000 databases from Data.Gov.UK
- Demonstrated ability to lead complex, high-value projects from conception to completion
- Showcased expertise in combining AI with user-centric design for data analysis
- Proven track record in stakeholder management and cross-functional team leadership
- Experience in developing scalable, cloud-based solutions for big data analysis
- Successfully open-sourced the project, contributing to the wider tech community