Jiseon Park

Associate Data Scientist

Professional Overview
Jiseon Park is an accomplished Associate Data Scientist with a strong background in data analysis, statistical modeling, and machine learning. She currently applies her expertise at The Home Depot, leveraging data-driven insights to drive business outcomes and process improvements.

Experience Summary

Current Role
As an Associate Data Scientist at The Home Depot, Jiseon is responsible for developing and implementing innovative data solutions to optimize supply chain operations, enhance customer experiences, and drive strategic decision-making. In her role, she has spearheaded several high-impact projects, including a predictive demand forecasting model that improved inventory management and reduced excess stock by 18%.

Career Progression
Prior to her current position, Jiseon gained valuable research experience as a Research Assistant at Duke University's Fuqua School of Business, where she collaborated with faculty on various data-driven initiatives. She also served as a Student Co-pilot (Teaching Assistant) at Duke, honing her analytical and communication skills while supporting undergraduate coursework. Earlier in her career, Jiseon held internships at Korea Information Management Assessment and BizX, further developing her expertise in data analysis and market research.

Academic Background
Jiseon holds a Bachelor's degree in Business Administration from Duke University, where she graduated with distinction. Her coursework and research focused on data analytics, business intelligence, and applied statistics, equipping her with the necessary skills to thrive in the data science field.

Areas of Expertise

• Advanced statistical modeling and data mining techniques

• Proficiency in Python, SQL, and data visualization tools

• Expertise in machine learning algorithms and their applications

• Strong problem-solving and critical thinking abilities

• Effective communication and collaboration skills

Professional Impact
Through her innovative data solutions and collaborative approach, Jiseon has made significant contributions to her organization and the broader data science community. Her work has led to tangible business improvements, such as the development of a predictive demand forecasting model that improved inventory management and reduced excess stock by 18%.

Conclusion
Jiseon Park is a highly skilled and driven Associate Data Scientist with a proven track record of delivering data-driven solutions that drive business transformation. With her exceptional analytical capabilities, technical proficiency, and keen industry insights, she is well-positioned to continue advancing her career and making a lasting impact in the field of data science.