I have a passion for understanding people and helping them reach their maximum potential. My work has contributed to the advancement of Fortune 500 businesses in the domains of talent, culture, organizational wellness and operational effectiveness. I have conducted studies on resilience and overcoming adversity in the workplace as well as how to effectively use use bio data and a wide range of personality traits and characteristics to predict job outcomes such as innovative tendency, job satisfaction, job dedication, organizational citizenship, organizational support, counterproductive work behaviors, burnout, and turnover intentions. My background in applying science and the scientific method in business contexts combined with my experience applying evidence-based insights to achieve targeted objectives has honed my skills in collecting data fast, deriving insights quickly, and using these evidence-based insights to propose, develop, and implement tools and solutions useful for a wide range of business purposes including HR/People Operations, Business Development, Learning and Development, Change Management, and more.My knowledge, skills, and abilities in work and organizational psychology make me skilled in using data, science, and evidence-based management to make informed business decisions, help organizations and individuals overcome challenges, prevent problems, and promote organizational health using a rigorous data-driven approach. My experience and training as a data scientist allows me to draw practical conclusions from massive datasets while automating processes. I have a wide range of experience developing and validating psychometric assessments. I've studied individuals, work groups, and entire organizations using both single and repeated measures research designs as well as cross-sectional, experimental, and quasi-experimental research designs. I've also conducted meta-analyses & comprehensive literature reviews. My research designs range in complexity from simple t-tests and analysis of variance to machine learning methods and structural equation modeling. I like to use these skills in my off-time as well. Side-projects that I've worked on apply data, coding, and machine learning to facilitate computer vision and computer-generated art. Other projects of mine involve integrating data, science, and automated technology to optimize my own personal urban hydroponic microgreen grow system. I love the fact that some of the best results of my efforts with data and science now get to become my lunch.