Demonstrated that real-time data reporting (RTDR) improved credit accuracy, inclusion, and lending efficiency in the UK Leveraged a filtered timing-proxy dataset on Snowflake SQL, performing validation and sensitivity checks to ensure robustness Framed three hypotheses on scores, repayment-timing/utilisation, and approvals/limits, defined cohorts and statistical tests Demonstrated that RTDR reduced timing-driven mismeasurement, improved the accuracy of borrower assessment Converted insights into actions: RTDR pilot (A/B) design, recency-aware features, and regulatory-aligned governance Presented findings to stakeholders at the Consumer Data Research Centre Oxford event

Investigated emerging risk governance models for GenAI, addressing legal, ethical, and operational concerns across contexts Mapped GenAI adoption challenges across organisational functions, aligning policy design with implementation gaps Contributed to architecture analysis for integrating GenAI technologies, including agentic systems, into scalable infrastructure Assessed use case prioritisation strategies and delivery blockers, applying a product-centric lens to manage uncertainty and evolving AI capabilities

Conducted an analysis of innovative behaviors, using SPSS-based PROCESS to examine moderation effects Analyzed financial service technologies, highlighting the influence of customer demand on financial innovation Established the hypothesized relationship between customer knowledge management and business performance Created a video summarizing the book Hyperfocus on the university website

Assisted in generating three market analysis reports by collecting news data using spreadsheets Published a 10-page analysis report on Amazon, researching its medical industry acquisition plans Delivered a presentation on Sony and Nvidia's competitiveness, highlighting their extensive patents and mature products Analyzed leading companies in the Metaverse, with a focus on their patents, competitive advantages, and strategies