Ruohan Li Email & Phone Number

Ann Arbor, Michigan, United States

• Developed a predictive model for supply chain solving times using ML techniques, including EDA and supervised learning inPython, significantly improving the efficiency of solving complex supply chain network optimization models• Designed and implemented an automated data pipeline, achieving an 80% reduction in manual data preprocessing efforts• Extracted essential data metrics and identified nuanced differences between models, contributing actionable insights tooptimize supply chain management strategy leveraging rigorous statistical analysisJob Scheduling with Random Processing Time in Hospital Operation, University of

Beijing, China

• Minimized the risk of payment failure to increase advertisement sales by 3 percent by identifying the internal system defectsand recommending customer standard operational procedures with SQL queries and business intelligence dashboard• Increased 15% data transformation efficiency by designing data models in Mysql and data pipelines in Python to manageclient-level and transaction data between CSV, relational database, and Google Cloud Platform with dataflow, Bigquery• Recommended reevaluation of payment risk matrics by spotting the main internal system failure reason “pay in and pay out”amount 20+ main payment failure reasons and visualized the time series data with prophet model forecasting in Tableau• Identified the usage of the new service/function “knowledge center” usage by analyzing the trend of user penetrationand distribution across multiple dimensions to recommend the marketing strategy for internal sales• Enhanced platform feedback and on-call system, by leveraging data visualizations and collaborating between cross-functionalteams, resulting in a 50% reduction in first response time and overall resolution time• Assisted in the implementation of internal project management process, templatized workflow dashboard for future projects,automated notification in the system, resulting in a notable 10% increase in operational productivity

Wuhan, Hubei, China

• Conducted industry research and collected large-scale raw data cooperated with the team to understand the core pain points,and procurement decision path of target customers to create more efficient data collection services• Built data visuals to perform benchmarking analysis, enabling a comprehensive evaluation of our performance in relation toindustry competitors, and pinpointing opportunities for innovation and enhancement• Organized customer data into statistical tables and created insightful visualizations of results of emerging trends using PowerQuery in Excel, in order to help the technical team gain a comprehensive understanding of the customer's current model

Master Of Science - Ms, Industrial And Operations Engineering, 4.0/4.0

Activities and Societies: Moli Dance Group

Bachelor Of Science - Bs, Industrial Management, 3.72/4.00

Activities and Societies: Dance All Out Club