- Collaborated with external stakeholders to unlock full potential of internal data utilization. Explored and helped data mapping since the early phases of the Aeon Digital Bank project.- Built and maintained multiple dashboards to improve Operational efficiency. Independently and iteratively performed requirements gathering, data modelling, dashboarding and presentation to stakeholders.- Regulatory Reporting (RR): Assisted with Data Mapping and Data Modelling. Coordinated communication during the initial phases, internally and externally for RR workshops, RR integrations, Information Risk Assessment, and SIT & UAT.- Developed a data pipeline end-to-end including data ingestion, data transformation, and data modelling. Technologies: Airflow, Docker, dbt, Python- Product Owner (interim) of the Bank’s ERP system. Performed all Project Management & Administrative tasks including communicating with Finance, Data, System Integrators and vendors. Coordinated Data Warehouse-ERP & Host-to-Host integrations. Completed Disaster Recovery Planning, Information Risk Assessment, System Criticality Assessment, and Go-Live planning.- Researched, presented and implemented end-to-end the Data Quality Framework prototype for the Bank, ensuring accuracy, completeness, consistency, freshness and correctness of data.

- Led and Managed the Data team, guided and upskilled 8 other analysts in both technical and soft skills.- Directly communicated with stakeholders from all departments to understand and translate business requirements into actionable items, streamlining the requirements gathering process of the team.- Built dashboards to visualise core business KPIs, saving 43+ hours per week of manual reporting work.- Wrote in-depth statistical and descriptive analyses & write-ups to analyse performance of campaigns and features, discovering insights and driving business decisions.- Created web scrapers to analyse 10+ competitors’ pricing, increasing inhouse SKU count by 50%, making prices more competitive and assisting in pricing negotiations. (Replaced and automated 4 analysts’ work, saved 300+ hours/week).