Steven Yan

Using my data science powers for social good

Driven by an unwavering commitment to effect positive societal change, I have consistently sought opportunities that promote community engagement and provide avenues to give back to the community. Transitioning from a decade-long career in education management, I've cultivated a growing passion for leveraging data to create impactful solutions as an early career data scientist. At StartOut, I gathered and analyzed both policy (LGBTQ+ legislation and fiscal) and non-policy (demographic, geographic, social) data, integrating them with indicators of high-growth entrepreneurship to train machine learning models. This enabled me to provide actionable insights to stakeholders and policy recommendations to decision-makers. This experience has honed my practical skills in extracting valuable insights from raw data to address pressing social issues.

As a career changer, my background encompasses diverse roles including management, classroom instruction, content writing, training and development, program administration, and career advising. Crafting content and conducting MCAT bootcamps has refined my written and verbal communication skills, enabling me to convey technical concepts clearly and fluently to both technical and non-technical audiences. My collaboration on machine learning models with data scientists around the world at Omdena, coupled with my prior dedication to teaching students from underrepresented backgrounds, has instilled in me cultural humility and competence while allowing me to contribute to meaningful causes.

Fueled by a passion for social good and equipped with a versatile skill set, I am committed to deploying data-driven solutions to address complex challenges within your organization and the broader field of data science.