Data Professional

Advised 50+ merchants on payment solutions, aligning product demos with client goals and resolving queries, resulting in a 20% increase in customer satisfaction scores. Delivered actionable insights from customer behaviour trends and data, optimising sales strategies, and informing product improvement roadmaps and go-to market strategies for feature rollouts. Assisted senior product managers in defining product requirements and user stories and ensuring clear project management specifications and alignment with business goals. Conducted user research to gather feedback, identify pain points, and recommend improvements for data products.

Translated business needs into technical requirements and built and maintained 10+ interactive Power BI dashboards tracking KPIs for business review with attention to detail. Improved reporting accuracy by 25% by collaborating with cross-functional teams in India and the UAE to standardise data collection processes, supporting consistent business intelligence reporting. Achieved high database uptime and enhanced sales analytics performance by tuning PostgreSQL databases and optimising indexing to support robust data integration and analysis. Automated data workflows using Excel VBA, improving reporting accuracy by 25%, reducing manual errors, and helping in proactive decision-making.

Spearheaded requirements gathering and process mapping initiatives to identify root causes of procurement inefficiencies, reducing costs by 15% and rework risks by 20%. Managed relationships with key suppliers, negotiating contracts and ensuring optimal business performance, leading to a 15% reduction in procurement costs with regulatory timescales. Finalised procurement contracts 10 days ahead of schedule and under budget by coordinating vendor negotiations and communicating requirements to technical and non-technical stakeholders. Conducted a thorough analysis of inventory turnover rates and designed a centralised inventory database using MySQL, reducing replenishment cycles by 35% via process optimisation.

Increased testing performance by 20% by designing and optimising detailed test cases through data-driven analysis, resulting in comprehensive system validation and enhanced quality. Achieved defect-free software deployment by implementing A/B testing to analyse and refine insurance website interface layouts, ensuring seamless documentation and code reviews. Enhanced cross-team collaboration and project efficiency by facilitating the integration of a new testing framework, streamlining workflows in a cross-functional environment. Improved test coverage and efficiency by leveraging analytical skills to identify and prioritise significant test scenarios, ensuring comprehensive validation of critical system functionalities.

Key Modules: Artificial Intelligence & Info Seeking, Mathematical Computational Science and Statistics, Cloud Technologies, Data Management and Visualisation, Data Mining, Machine Learning.