Wenxi Li Email & Phone Number

Washington, Dc, Us

Washington Dc-Baltimore Area

Columbia, Maryland, United States

1. Processed hundreds of ad-hoc hands-on analysis for clients with SQL and Python, including forecasting customer Lifetime Value, break even month, attrition sensitivity analysis, etc. 2. Maximized client satisfaction in daily response by choosing appropriate tools and level of complexity for various business challenges and translated analysis results to strategy recommendations.3. Collaborated in developing comprehensive weekly P&L report as well as financial report in snowflake with SQL for clients, which enables to identify and prioritize ambiguous challenges and current pain points across markets.4. Initiated automation processes in connecting snowflake to weekly financial reports and to Amazon S3 bucket using Python, which conserved 1 unit labor costs and boosted productivity by 100%.

Remote

Remote

1. Remodeled an AI Chinese lyrics generation system with Python and GPT-2 using 300GB training data, which allows multiple user inputs including music style, keyword, theme, emotion, and format.2. Assembled a comprehensive scoring system with keyword hit score, style relevance score, and diversity.3. Deducted the generation model running time by 66% and increased final fluency score by 78%.

Berkeley, California, United States

Summer Project with Volvo Cars Group1. Preproocessed millions of online browsing data in Python, found patterns at an aggregate level that leads to ‘purchase’ events 2. Developed a Bidirectional LSTM model using Tensorflow and Keras to predict conversion rate, achieving an accuracy of 97% and visualized the hidden states of the neural network in Tensorboard with T-SNE to show different customer states3. Built statistic models to analyze customer behaviors related to different clusters, made it possible to conclude features of 5 types of customers (new customers, returning customers, etc.) and interpret browsing data into business insights

Collaborated with the development of GLOBE Program at UC Berkeley and helped international students with their academic problems.

-Collaborated in Rubric Decision of the course Linear Programming and Network Flow.-Graded the homework of the undergraduates in the course of Linear Programming and Network Flow.

Shanghai China

-Calculated the optimal transportation path between IKEA invetorystores using Dijkstra’s Algorithm.-Improved IKEA’s inventory management system by delivering a python model to achieve lowest costs and consider factors such as inventory buffer, demand seasonality, customer experience, and transportation uncertainty.-Evaluated suppliers’ performance in Excel VBA based on several KPIs such as price, delivery, quality and service.

Shanghai City, China

Uniqlo Talent Scholarship Program-Collaborated in designing the RFID label identification supply chain system and user application in Java, SQL to improve operations efficiency and users’ experience for letting users to track package in each stage

Master Of Engineering - Meng, Industrial Engineering And Operations Research, 3.92/4.0

-Capstone Project: Novel Machine Learning Program of Medicare Big Data with UC Berkeley, School of Public Health -Peer Advisor at UC.

Bachelor Of Engineering - Be, Transportation Engineering, 3.88/4

-Undergraduate Student Researcher in Industrial Engineering & Operations Research Department Research Topic: Supply Chain Management.

Bachelor Of Science - Bs, Logistics, Materials, And Supply Chain Management

Activities and Societies:-Excellent Graduate of Shanghai, 2019 (top 1％） -Excellent Graduation Thesis of Tongji University, 2019 (top 1%).