Analyst
Current- Led an intervention study to enhance the health and lifestyle habits of elderly participants, resulting in improved physical well-being, higher quality of life, and reduced social security and medical costs.- Developed and executed data-driven analytical strategies using Python, transforming over 500 data points into actionable insights through data cleaning and integration.- Identified 7 critical success factors through advanced regression, causal, and time-series analysis, driving a 25% improvement in the effectiveness of the intervention.- Collaborated with universities and key stakeholders to streamline data collection and ensure consistent progress, enhancing overall project efficiency.- Delivered insights and findings in Japanese to senior leadership and external partners, accelerating decision-making processes by 30%.