Candice Huang

As a data scientist with a Master’s from Columbia and a solid analytical foundation in finance from Ohio State University, I specialize in transforming data into strategic insights. My expertise lies in quality assurance, predictive modeling, and providing actionable recommendations to optimize business operations, as demonstrated through impactful roles at Nordstrom and Didi Global. With a clear focus on the tech and finance sectors, my goal is to leverage my skills in machine learning, EDA, and risk analysis to drive data-driven decision-making processes. Proficient with Excel VBA, R, Python, SQL, and Tableau, I aim to address complex challenges, mitigate risks, and contribute to the bottom line. I am seeking opportunities as a data analyst or risk specialist where I can push the envelope in data strategy and risk management, adding value through meticulous analysis and innovative solutions. Let’s connect to discuss how my analytical prowess can support your organization's objectives in tech and finance.