Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I'm Kaiyang Li, a passionate data scientist currently pursuing my M.S. in Data Science & Analytics at Georgetown University. I enjoy leveraging big data, machine learning, and cloud technologies to solve complex problems and deliver actionable insights. With experience in teaching, hands-on internships, and challenging projects, I thrive on continuous learning and collaboration. I have a strong background in statistics and human resources management from my undergraduate studies at Rutgers University. Whether it's analyzing massive social media datasets or optimizing business operations, I love turning data into impactful stories and strategies that drive real-world results.…Hi, I'm Kaiyang Li, a passionate data scientist currently pursuing my M.S. in Data Science & Analytics at Georgetown University. I enjoy leveraging big data, machine learning, and cloud technologies to solve complex problems and deliver actionable insights. With experience in teaching, hands-on internships, and challenging projects, I thrive on continuous learning and collaboration. I have a strong background in statistics and human resources management from my undergraduate studies at Rutgers University. Whether it's analyzing massive social media datasets or optimizing business operations, I love turning data into impactful stories and strategies that drive real-world results.

Kaiyang Li

Data Scientist, AI Engineer, Cloud Developer, +2





Hi, I'm Kaiyang Li, a passionate data scientist currently pursuing my M.S. in Data Science & Analytics at Georgetown University. I enjoy leveraging big data, machine learning, and cloud technologies to solve complex problems and deliver actionable insights. With experience in teaching, hands-on internships, and challenging projects, I thrive on continuous learning and collaboration. I have a strong background in statistics and human resources management from my undergraduate studies at Rutgers University. Whether it's analyzing massive social media datasets or optimizing business operations, I love turning data into impactful stories and strategies that drive real-world results.…Hi, I'm Kaiyang Li, a passionate data scientist currently pursuing my M.S. in Data Science & Analytics at Georgetown University. I enjoy leveraging big data, machine learning, and cloud technologies to solve complex problems and deliver actionable insights. With experience in teaching, hands-on internships, and challenging projects, I thrive on continuous learning and collaboration. I have a strong background in statistics and human resources management from my undergraduate studies at Rutgers University. Whether it's analyzing massive social media datasets or optimizing business operations, I love turning data into impactful stories and strategies that drive real-world results.

Available to hire

Hi, I’m Kaiyang Li, a passionate data scientist currently pursuing my M.S. in Data Science & Analytics at Georgetown University. I enjoy leveraging big data, machine learning, and cloud technologies to solve complex problems and deliver actionable insights. With experience in teaching, hands-on internships, and challenging projects, I thrive on continuous learning and collaboration.

I have a strong background in statistics and human resources management from my undergraduate studies at Rutgers University. Whether it’s analyzing massive social media datasets or optimizing business operations, I love turning data into impactful stories and strategies that drive real-world results.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Teaching Assistant - Data Science Program at Georgetown University

May 31, 2025 - August 1, 2025

Facilitated 8+ weekly office hours and bi-weekly review sessions, supporting 40+ M.S. students in coursework across machine learning, data analysis, Python programming, SQL querying, and R statistical modeling. Developed customized study guides and problem sets based on 200+ graded assignments. Automated the grading workflow for Python and R programming assignments, decreasing grading time by 35% using custom scripts and LMS integration. Collaborated with 5 faculty members to redesign the course capstone project, integrating Apache Spark, AWS S3/Lambda services, and real-world big data case studies, enriching project complexity and scalability.

Data Analytics Intern at Henan Kingroad Group

August 31, 2023 - August 1, 2025

Analyzed 5 million+ transaction records across 12 regional warehouses using SQL, Python (pandas, matplotlib), and Tableau, identifying logistical bottlenecks that reduced delivery delays by 15%. Designed and implemented an automated ETL pipeline that ingested, cleaned, and transformed daily sales and inventory data into a centralized PostgreSQL database, improving dashboard refresh speed by 40%. Built Tableau dashboards monitoring 20+ KPIs (order fulfillment rates, regional profitability, marketing ROI), leading to monthly executive reviews and operational adjustment cycles. Developed a regression-based sales forecasting model, achieving 92% R² accuracy, directly aiding inventory optimization and reducing overstock by 8% across product lines.