San Francisco Bay Area
As a data scientist with a Master's degree in Statistics and Data Science from Northwestern University, I have a strong background in data analysis, machine learning, and statistical modeling. I have applied my skills in various roles, including at Sina Weibo, where I led the analysis of 100,000 comments on luxury and cosmetic brand campaigns, resulting in a 5% revenue increase. I also developed SQL queries to extract multidimensional data from SINA database systems and conducted AB tests to customize brand topics recommendations, boosting DAU by 7%. In addition to my work experience, I have also gained valuable insights and knowledge through my education and certifications. I am currently pursuing a Master's degree in Statistics and Data Science at Northwestern University, expected to graduate in June 2026. I have also earned certifications in Structuring Machine Learning Projects, Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, and Convolutional Neural Networks from DeepLearning.AI. These credentials demonstrate my commitment to continuous learning and staying up-to-date with the latest trends and technologies in the field of data science.
Design the database for genomic profiling and the generation for studying MGUS and MM in African American people.
Participated in Phase II GBX patients' survival analysis; drafted statistical analysis reports for research paper on Immune Modulation With Ultrasound for Newly Diagnosed Glioblastoma.
Supervised: Prof. Hui Zhang Phase II brain cancer clinical trial analysis
Built a multi-agent AI system on the mAIstro platform and deployed on the AWS platform. - Completed 2 NeuralSeek AI certifications within a 6-week period, developing practical expertise in natural language agent design, multi-tier architecture, and real-world business integration of generative AI. - Designed a fully operational generative AI agent using NeuralSeek’s enterprise platform, incorporating real business requirements and customer-facing logic. The agent will be contributing to live go-to-market strategies and integrating real business use. - Delivered a final capstone project to NeuralSeek leadership and a community of 50+ participants, showcasing AI agent, market research, and business impact. - Led a competitive analysis of 10+ leading AI platforms to inform product positioning and strategic differentiation in the generative AI landscape.
Led the analysis of 100,000 comments on luxury and cosmetic brand campaigns to identify user preferences and target groups, resulting in a 5% revenue increase. • Developed SQL queries to extract multidimensional data from SINA database systems. • Conducted AB tests to customize brand topics recommendations, boosting DAU by 7%.
· Built a Python-based ETL pipeline to process 8 ChinaScope news datasets into 5 modeling-ready datasets, enriching sentiment and entity metadata for downstream financial modeling. · Used Power BI to visualize key predictive factors and sentiment-driven price movements, delivering actionable insights to support equity strategy teams.