Yi Chen Email & Phone Number

New Jersey, United States

⚫ Orchestrated the collection and normalization of data from 10+ interviews and 300+ questionnaires, dedicating over 100 hours to fill information gaps for a pediatric flu medication market assessment.⚫ Leveraged Python’s statsmodels for multivariate regression analysis to uncover medication usage patterns across 10 diverse clinical environments. Employed scikit-learn for factor analysis, evaluating competitive dynamics among five key drug varieties, which supported strategic valuation of a $300M market segment.⚫ Led the application of generalized linear models within Python, analyzing 5000+ data points to forecast post-launch product adoption, producing projections that closely matched actual sales by 85%, thereby reinforcing the strategicrecommendations with solid data-backed evidence.⚫Developed a detailed analytical report, incorporating over 20 data visualizations crafted in Excel and Python, which played a pivotal role in securing a $30M investment for product development and marketing strategy revision, clearly conveying critical findings to stakeholders across the board.

Shanghai, China

● Performed in-depth analysis on unexpected data variances, identified principal reasons for customer attrition, and formulated retention plans, reducing attrition rates by 12%.● Designed and updated daily and weekly interactive dashboards with Tableau that monitor seasonal patterns, weekly changes, and annual comparisons for over 5 products and referral metrics.● Engaged with business stakeholders, implemented a core metrics tracking system, fulfilled 50+ SQL data requests, monitored 10+ KPIs, and boosted operational efficiency by 20%.● Designed experiments, including A/B testing to validate product feature effectiveness, accelerating product iteration by 30% and enhancing user experience, reflected by a 15% increase in user satisfaction scores.

Shanghai

● Organized and analyzed data from 100+ secondary sources, contributing to 5+ projects in pharmaceutical valuations, strategies, and IPOs.● Collaborated with cross-functional teams to analyze quantitative data from 10,000+ data points, uncovering patterns and trends that led to a 20% improvement in project delivery accuracy.● Initiated the collection of primary data from 10+ interviews with industry representatives, identifying and highlighting 50+ key insights that influenced project direction.● Led the development of generalized linear models to forecast post-launch product scales, resulting in accurate projections that matched actual outcomes by 85%, aiding strategic decision-making.

Master Of Public Health - Mph, Biostatistics

Bachelor'S Degree, Food Science And Human Nutrition