School: Shanghai DianJi University
Major: Internet of Things
I have excelled in courses like Cloud Platform, IoT Fundamentals, Signals and Systems, etc. I was honored to receive two merit scholarships (top 10% of class) and actively participated in a project involving the design and enhancement of Zigbee and Wi-Fi smart lighting systems.
In addition, I also represented the school football team and won sixth place in the Shanghai University Football League.
School: Boston University
Major: Computer Information System
I excelled academically and achieved a 3.7/4 grade point average. I achieved excellent results in courses including Machine Learning, Big Data Analysis, and Data Mining, where I received an A (5%).
In addition, I am involved in several research projects, one of the important research projects involves the development of an R-based predictive analysis tool for heart disease data.
School: Tulane University
Major: Computer Science
I am currently in the first year of my PhD, and my research interests focus on the combination of AI and visualization techniques. I aim to use visualization and AI to help users better understand data, particularly images and text. I believe that visualization not only provides an intuitive way to present data but can also be used to fine-tune AI model parameters, helping us gain deeper insights into how these models work and, ultimately, improve their performance.
Position:Business Intelligence Intern
Period:January 2020 - August 2020
· Led a team of 8 interns, effectively coordinating their work and ensuring the success of the project.
· Served as DBA in the completion of 20+ medium- to large-scale implementations, including Bank of America, Citibank, Bank of Japan, etc.,
· Managing projects from business requirements analysis to solutions delivery and support
· Used SQL, Dell Report Tool to compile monthly 40+page summarize of company operations, Identifying key areas for improvement to senior management
· Converted and loaded data for VMax and Power Max 2000 products into target database, allowing user corresponding solutions to happen on time and according to specifications and budget
Position: Data Scientist Intern
Period: May 2022 - August 2032
· Used Power BI/Report Builder to generate standard or customized business intelligence (BI) dashboards, datasets, reports and business presentations, and summarize transaction business data and financial or economic information
· Used SQL server to optimize the infrastructure needed to extract, transform and load data from various data sources, and generate easy to read reports.
· Analyzed data sets in R to assess quality and usefulness across various analytic and data mining/modeling use cases
·Design, develop, test, deploy and maintain database security and audit solutions
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