Analyzed competitors’ content recommendation strategies and authored product requirement documents and feature specifications.
Conducted A/B testing to improve the content recommendation strategy of the Baidu Mobile APP.
Strategy and Planning Analyst Intern
Baidu, Inc.
Conducted market competitive analyses, synthesized industry research reports, and analyzed competitor financial reports.
Presented actionable strategy recommendations backed with data-driven insights and visualizations to the leadership team.
Designed surveys and conducted domain expert interviews for evaluating market opportunities and risks.
Education
Sc.M. Data Science
Brown University
Research focus areas include Reinforcement Learning and Robotics.
Coursework includes Deep Learning, Reinforcement Learning, Data Engineering, and Computational Probability.
B.S. Statistics
Bucknell University
Independent research on Medical Image Processing using Computer Vision and Machine Learning.
Courses included:
Advanced statistics, math, and linear algebra courses.
Computer science courses in data structures & algorithms, software engineering, and image processing.
Social sciences courses in psychology and sociology.
Skills & Hobbies
Technical Skills
Python
PyTorch, TensorFlow, scikit-learn
Machine Learning
Deep Learning, Reinforcement Learning
Robotics
ROS, Motion Planning
Software & Tools
Git
Linux
Data Analysis
Pandas, SQL, Spark
Awards
First Place, Best Poster
Susquehanna Valley Undergraduate Research Symposium ∙
July 2022
Awarded for the research poster on “Facial Nerve Paralysis Severity Grading by Computer Vision and Machine Learning”