Daniel Jang — Data Scientist
As a proficient Data Scientist with a strong foundation in Artificial Intelligence and Data Analysis, I bring years of experience driving impactful insights and innovative solutions across diverse industries. At Kimberly-Clark Korea (Yuhan-Kimberly), I led projects in Natural Language Processing, predictive modeling, and data pipeline development, achieving significant cost savings and strategic improvements for both internal and external stakeholders. My work included building generative AI models for attribute and sentiment analysis, developing consumer churn prediction systems, and establishing CRM marketing strategies to enhance user experience and engagement. Additionally, I specialized in visualizing data insights through dynamic dashboards, enabling stakeholders to make data-driven decisions effectively.
Stackforce AI infers this person is a Data Scientist specializing in AI-driven insights and data analytics solutions.
Location: Pittsburgh, Pennsylvania, United States
Experience: 9 yrs 5 mos
Skills
- Data Analysis
- Artificial Intelligence (ai)
Career Highlights
- Led impactful AI projects at Kimberly-Clark.
- Developed predictive models for consumer insights.
- Specialized in data visualization for strategic decisions.
Work Experience
Kimberly-Clark
Data Scientist (3 yrs 8 mos)
Codestate
Data Science Fellow (1 yr)
UnicoSearch (유니코써치)
ICT Consultant (10 mos)
Saerona Solar Energy System
CEO (1 yr 2 mos)
CAVTIL, Inc.
Data Analyst (1 yr)
Jeju Air
IT Analyst (1 mo)
Republic of Korea Army
Sergeant (1 yr 9 mos)
Education
Master's degree at Carnegie Mellon University
Bachelor’s Degree at Syracuse University
High School at Tilton School
