• Lead a team of research scientists to develop a study design and build statistical models with average causal mediation analysis and multivariate regression to investigate the role of anabolic hormones in the relationship between oxytocin and depression in a large population dataset• Conduct end-to-end analysis, including data processing, wrangling, analytics, data visualization, and presentations• Presented poster in the Quantitative Biomedical Science 2022 Conference

• Scraped, processed, and cleaned large datasets from multiple data sources totaling 101,316 observations to evaluate 7 weight-loss promoting medications in older adults with obesity and determine their cross-sectional association with physical functioning for predictive modeling

• Performed exploratory data analysis on company’s clinical trial data for investigational drug in development using R• Produced 4 extensive research reports on current treatments and drug development for the company’s key therapeutic areas including Alzheimer’s disease, pancreatic cancer, and benign prostatic hyperplasia

• Conducted market analytical research and supported teams in identifying clients’ management needs and solutions• Collaborated on 4 projects – used Excel to generate actionable insights for an enhanced online shopping experience; compiled air pollution data, analyzed and presented findings about the viability market for face masks

• Performed global energy/sustainability policy research to identify trends/risks in clients’ ESG-related business activities• Designed 4 CDP reports for major corporations for environmental reporting and risk management, while leveraging opportunities in areas such as climate change, health and safety, and supply chain management