Xiaochen Gui — Business Development Executive
I am interested in advanced data analysis and always actively pursuing professional certifications through self-study. Hands on experience in programming, modeling, data analytics and data visualization from work and projects. Knowledge and Skills: • Programming: Proficient in Python, R, SQL, SAS • Data Visualization: Tableau, AWS Redash • Knowledge of Statistics, Machine Learning, A/B testing, NLP • Experience with ETL pipelines and managing data architecture • Tools: AWS tool kit (AWS S3, Athena, Redshift and etc.)
Stackforce AI infers this person is a Data Science professional with a strong focus on statistical analysis and machine learning.
Location: New York, New York, United States
Experience: 9 yrs 8 mos
Skills
- Data Science
- Machine Learning
- Data Analysis
- Data Visualization
- Financial Analysis
- Statistical Analysis
- Data Management
- Customer Service
Career Highlights
- Proficient in Python, R, SQL, and SAS for data analysis.
- Hands-on experience with ETL pipelines and data architecture.
- Pursuing professional certifications in advanced data analysis.
Work Experience
Amazon
Business Intelligence Engineer (4 yrs 6 mos)
Ocrolus
Data Scientist (1 yr 6 mos)
Data Analyst (3 yrs 1 mo)
Lanchid
Investment Analyst Intern (2 mos)
School of Nursing, University of Pennsylvania
Statistical Consulting Intern (7 mos)
Bank of China
Intern (1 mo)
Education
Master of Science (M.S.) at Fox School of Business at Temple University
Bachelor of Science (B.S.) at Changzhou University