Originally hailing from Kumasi, Ghana, Nana Antwi's passion for technology led him to pursue a degree in chemistry and chemical biology at Cornell University. During his time at Cornell, he discovered a keen interest in machine learning and data science, which drove him to obtain a master's degree in computer science from Columbia University. Antwi's educational background provided him with a unique blend of skills that set him apart as a data scientist for the Internal Audit team at Synopsys.
As a two-time intern at Synopsys, Antwi worked on two impactful projects. During his first internship, he employed machine learning algorithms to predict sales opportunities for the Synopsys Solutions Group, impressing teams with his dedication and problem-solving abilities. He notes, "I particularly like how my first project evolved from uncertainty towards a remarkable solution that I ended up sharing with the business. I had to try multiple techniques, iterate over my solution, and push myself to do even better. I ended up presenting my work to multiple teams and received great feedback."
During his second internship, Antwi designed analytical procedures and algorithms for the Internal Audit team, displaying exceptional attention to detail in identifying risky transactions. Now as a full-time employee, Antwi’s expertise in machine learning and statistical methods allows him to identify potential risks in the company's workflows, solidifying his position as a valuable asset within the organization.