I was a senior executive leader in series-A gig economy startup, leading various cross-functional initiatives and high-impact projects across product, sales, operations and marketing. This included identifying product features and improvements, automating processes, and architecting GTM strategies. I drove a culture of data-driven decision making, and was responsible for all things "data" within the company.• Created product and maintained product roadmap, achieving; 50% increase in app store rating (3.2 to 4.8 stars), 70% increase onboarding conversion, 50% reduction in payout times.• Managed product team overseeing the identification, validation and design of strategic features using agile methodologies and design thinking, while regularly reporting and collaborating with rest of C-Suite.• Led sprint planning, design thinking workshops, retrospectives, user interview sessions, and performed regular competitor analysis and user journey mapping to inform product strategy, prioritisation and design.• Drove cross-functional initiatives in C-suite, marketing, operations, and sales, including; reporting, employee mentoring, constructing sales pipelines, lead generation, administering CRMs, managing website and managing various vendor relationships.• Designed and built Snowflake data-warehouse, ETL pipelines using Python and created various SQLdashboards to support and foster a culture of data-driven decision making at C-Level and company wide.• Developed and maintained route optimisation algorithm responsible for sending 40k+ successful deliveries to drivers, in addition to designing sorting and recommendation algorithms to match workers with best jobs on the platform.

Data Scientist for the Cloud Pak Acceleration TeamBuilt and demoed various MVP cloud-based data science solutions for a wide range of industries and clients, including Speech-To-Text/Voice Agents, data pipelines for ML ops and deploying data governance and cataloguing solutions built on Kubernetes/ K8S.

Worked as Junior Data Analyst/ Scientist for a growing "Pay as You Go" utility provider, analysing smart meter readings and leveraging machine learning methods to provide unique customer insights for the company.

Key member in multi-disciplinary design team for several high-profile engineering projects (up to €200m), including retail, residential, office, energy and public buildings.