- Engaged with doctors and medical staff to gather and document business requirements, resulting in the creation of comprehensive business requirements documents that increased project clarity and stakeholder satisfaction by 25%- Analyzed large sets of medical data from 10 client hospitals using Python and SQL, delivering actionable insights that improved clinical decision-making and treatment efficacy by 15%- Collaborated with cross-functional teams, including IT and data science, to design and implement innovative data analysis tools, enhancing clinical process efficiency by 20%- Provided training and support for new data analysis tools and processes, achieving a 90% adoption rate within the first month and significantly improving staff's ability to make data-driven decisions

- Utilized transactional data from the World Bank and the United Nationsto discoverfactors that affect 40 developing countries’ fertility rates between 2000 to 2020- Implemented clustering algorithms (fixed effect model and quantile regression) to incorporate a comprehensive range of factors that may affect fertility rates and integrated 4 dummy variables to enhance data representation and analysis accuracy- Leveraged Python and R programming languages to develop clustering models, utilizing libraries such as scikit-learn and caret- Proposed evidence-based recommendations, including the importance of parental contributions, parental leave policies, gender equality, and access to healthcare, in incentivizing higher fertility rates

- Conducted comprehensive research on actions for various bank in response to rising inflation; synthesized findings to develop insights on policy transmission mechanism and its implications for global financial stability- Collected data from government reports from 2019 to 2023 to measure bank profitability, and reported a 0.35% increase in US commercial banks' net income margin to 3.14% in the last quarter by implementing VBA macros, incorporating a user friendly button and automation to refine the process- Provided comprehensive summary of the current economic changes and their impact on the banking system

- Developed and maintained dynamic weekly dashboards and summary tables using SQL and Power BI, facilitating data-driven decision-making for stakeholders across various departments- Conducted regular data audits and quality checks to ensure the accuracy and reliability of reports, contributing to improved business insights and operational efficiency