Senior Data Scientist with 10+ years across data science, machine learning, analytics, software engineering and technical leadership. Currently at Optasia, building fintech models across credit/lending, customer segmenta…
Senior Data Scientist with 10+ years across data science, machine learning, analytics, software engineering and technical leadership. Currently at Optasia, building fintech models across credit/lending, customer segmentation and dynamic product propensity, while contributing to AI/LLM research and organisation-wide AI adoption. PhD-trained quantitative researcher experienced in translating complex modelling into scalable, business-relevant solutions.
<p>Build financial and machine-learning models for credit and lending use cases using large-scale customer, behavioural and financial data.<br>
Develop customer clustering and segmentation approaches to identify meaningful behavioural groups and support differentiated commercial strategies.<br>
Build dynamic product propensity models to estimate changing customer likelihood across financial products and improve targeting and product selection.<br>
Research Generative AI and LLM applications for the AI team, translating emerging capabilities into practical business use cases.<br>
Drive AI literacy across teams through education, knowledge sharing and hands-on support for effective AI adoption.</p>
<p>Applied statistical modelling, optimization and analytics to large-scale operational data, turning complex systems data into decision-ready insights.<br>
Partnered with cross-functional teams on metrics, dashboards and analytical solutions supporting operational performance.</p>
<p>Designed and implemented software for robotic warehouse systems, combining production engineering with data-driven monitoring and optimization.</p>
<p>Developed software and analytics for robotic warehouse systems, including operational monitoring and KPI extraction.</p>
<p>Led a multidisciplinary team of Data Scientists and Data Analysts; supervised ML projects with responsibility for technical quality, delivery and business value.<br>
Led complex analytical initiatives and acted as the link between technical teams and internal business stakeholders.</p>
<p>Designed algorithms and scalable distributed applications; used data mining, analytics and machine-learning techniques to investigate production systems and operational performance.</p>
<p>Performed data analysis and visualization for complex operational systems, establishing the analytical foundation for later ML, engineering and leadership roles.</p>
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