Zhiyi Li
Cell: 515-***-**** *************@*****.***
Education
The Pennsylvania State University University Park, PA
Master of Science in Industrial and Manufacturing Engineering GPA: 3.3 Class of 2018
Dual degree in Operations Research
The Iowa State University Ames, IA
Bachelor of Science in Chemical and Biological Engineering GPA: 3.28 Class of 2016
Skills
Programming skill on Python, MATLAB, SAS, SQL, Minitab, Jump, AutoCAD, Advanced Excel add-in, VBA.
Lean Manufacturing, Supply Chain Management, Operation Research
Experience
Analyst Intern New York City, NY
Bank of Communication, NYC Branch, Compliance/Risk Management Dept. May 18 – Present
Anti-Money Laundry data and information processing and organizing
Review capital distribution and liquidity for co-lending companies, including long-term debt and outstanding stock
Analysis of investment banking business on loan/asset management
Graduate Research/Teaching Assistant Penn State University
Industrial & Manufacturing Engineering Dept. Aug.16 – May 18
Database statistical analysis on Nano-material referencing and characterization
Built mathematic models analyzing mechanical failure, post-joining morphology or machining process
Developed the image processing algorithm to characterize the fracture evolution of CFRP composite
Data Analyst Intern Xiangyang, China
DAI-ICHI Metal Industry Co., Ltd. Jul.14 – Sep.14
Work on projects independently, perform time study, value stream mapping, cost benefit analysis, process flow diagrams etc.
Monitored the quality of battery metal, analyzed the database for better efficiency of material cost and labor
Optimized the process cost on time and materials with applying Six-sigma knowledge on the lithium quality data
CAD Designer Intern Xi’an China
Xi'an High-tech Industries Development Zone Jul.13 – Sep.13
Designed the blueprint script of urban planning with AutoCAD graphics software
Assisted the director of the department on the common relationship affairs with outside companies
Leadership
Student Chair
Society of Manufacturing Engineers (SME) Penn State University
Organized professional development events such as CNC milling center learning sessions Jan.17-May 18
Projects
Kaggeles.com Ranked Top 7%: Predicting House Prices -- Advanced Regression Techniques
Predicted housing sales prices in Ames, IA based on feature engineering, random forests, and gradient boosting
Processed data with sorting and variable targeting, missing values imputing and distribution analysis
Predicted the sales price by modelling and stacking the data with regression and GBM & XGBoost
Regression Model Analysis:
Built regression model of anxiety causing based on gender, age, the drug types and each dose
Investigated factors affecting ethyl surfactant in the rotatable cylindrical reactor, concluded the bell-shape model
Genetic Algorithm:
Analyzed the binary selection problems by genetic algorithm, concluded the feasibility on optimizing the result
Presented the application of Genetic Algorithm on financial field, such as forecasting stock market trading values
Forecasting and Risk analysis on opening a sports good store in State College:
Built the network model with 12-period upon evaluation of tracking signal, seasonality and holt’s method
Managed the risk of business by advising changes on diversity of supplier, shorter lead time and procedure
Explored the mitigation of potential supply chain risk