• Data Analysis: Assisted the data team in using SQL to process and analyze clients’ financial product pricing data, mapped user paths, and performed preliminary evaluation of conversion rates across channels, providing basic data support for the project team.• Automation Support: Developed simple Python scripts to automate data updates and ROI calculations, reducing manual analysis time and improving reporting efficiency. Participated in preparing weekly trend reports to help clients monitor user behavior and channel performance.• Business Analysis: Worked with product managers to identify user pain points and suggested adjustments to pricing strategies. Supported the data science team in building custom dashboards, making complex data easier for clients to interpret and use for strategic decisions.

• Data Cleaning & Analysis: Supported market research projects for a US-based medical device company by managing large datasets and cleaning data using Python and SQL, ensuring data accuracy for analysis.• Data Visualization: Created detailed visualizations using Tableau and Excel to present patient distribution and healthcare provider (HCP) engagement across 15+ hospitals, providing insights for business strategy development.• Patient and HCP Behavior Analysis: Assisted in building behavior models to analyze HCP brand preferences and patient treatment decisions. Found that 30% of physicians favored established brands, resulting in a 20% lower adoption rate for new devices, and provided recommendations to optimize product positioning strategies.• Competitive Research: Collaborated with senior consultants to perform desktop research on the competitive landscape, using structured data to highlight strategic opportunities for market entry.• Reporting: Consolidated findings into comprehensive Excel dashboards and PowerPoint presentations, supporting clients in making informed decisions.

• Feasibility & risk Analysis: Supported feasibility analysis, evaluated financial viability and tracked progress against corporate strategy. Identified potential risks, ensuring alignment with stakeholder needs.• Operational Data Analysis: Analysed financial data since the construction of Disneyland Park, compared actual performance with capital predictions, validated additional expenses, and reported abnormal costs timely.• Financial Modelling and Reporting: Summarized daily financial data. Utilized R, Excel array functions to process data, and presented findings to project managers in monitoring profitability and improving operational efficiency.

• Data Management: Utilized Excel to accurately and efficiently enter and integrate new customer data, ensuring timely updates and summarization of data over a five-year period.• Reporting & Analysis: Creating Embassy Reports and Term Deposit Pipeline Tracking Reports, highlighting changes in deposit growth and customer engagement to support the team’s strategic decisions.• Market Insights: Developed a strong understanding of financial markets through daily interactions with clients and team members, synthesizing insights into actionable recommendations.• Customer Segmentation Analysis: Analyzed financial behavior patterns of different customer segments, identified high-value clients’ preferences and investment behaviors, and provided data-backed recommendations to refine service strategies.