ML Infra

Ip portfolio management system

Backend support for Alexa ASR data pipelines.

• Analyzed more than twenty parquet files with thousands of eCommerce clickstream data and form the common user flow in users with Python and AWS notebook instance• Developed persona for users and created customers’ profile system to enhance the Caterpillar’s customer’s online shopping experience• Programmed the Hidden Markov Model Algorithm in python in order to validate the conversion rate of the new customers’ profile system for cat.apps.com

• Played a role as a research assistant at LLEX Lab, University of Michigan • Used Spotify API and Python to gather data about musicians in United States, using Perceptron Algorithm and SVM to find the correlations between the labels (lyrics, demographic, population etc.)

• Coach and consult with more than 20 student organization members about leadership challenges• Facilitate more than 5 workshops, presentations, and other structured learning experiences• Provide support for CCI leadership programs; Act as a liaison between student organizations and CCI; Attend regular staff meetings and required training

-Participate in the research of "UberEATS' Competitiveness Impact” and contact the food safety departments of various states government in the United States to obtain data and perform preprocessing operations such as cleaning, labeling, and classification of the data for qualitative research. -Used Python and R to analyze the potential markets from the food industry.

• Written programming script in Lua and Shader with Open GL API, ran with ByteDance self-developed engine to produce special effect tools, affected Millions of users on Tiktok and Capcut• Developed a PC Application using Python to assist designers in producing effects and fixing bugs when transferring effects between different products• Played the role of the product Beauty’s owner, coordinated with the designers with the production of special effects and helped increase the DAU in one month

• Used Python to web scraping information from the architecture website, clean the information and label it• Build the Knowledge Graph for the architecture industry using Python and other Frameworks• Plan to design and create the searching engine based on the Knowledge Graph and meet the requirement of the daily search for the architecture industry

1, Participate in the program: Cultural Policy: A Complex Marriage of Business, Politics, and Culture.2. Used the qualitative research method, analyzed the influence of dialogue on the economy and cultural policy.3, Took Hong Kong as an example to do a deep study on the history policy and the changes as time went by.

-Used Wind to collect billions of data and perform analysis to follow up the startup projects of SDIC. -Used MATLAB to form the model and evaluated the feasibility and rate of return of the projects. -Through data analysis and reference cases, formulated investment plans. -Approached cooperation projects with PricewaterhouseCoopers and in charge of weekly meeting notes.

1.Full-scholarship sponsored exchange program. 2.Major in Finance. GPA 3.83.Courses taken: Investment, Financial Market, Human Resources Management, Market Decision Making