Manufacturing Supervisor Resume

SUMMARY

Data science enthusiast wif a master degree in transportation management and pursing a master degree in statistics. Had experiences in data cleaning and statistical analysis including regression and machine learning to address challenging problems using R, SAS, Python, and SQL

TECHNICAL SKILLS

R, SAS, Python, MATLAB, SQL, SPSS, Mathematica, Weka, and Arena
SAS Programming
Statistical Analysis, Machine Learning (Decision Tree, Logistic, SVM, PCA, MCMC), Computational Methods, Time Series, Stochastic Model, GLM, Data Visualization, and Linear Algebra

PROFESSIONAL EXPERIENCE

Confidential

Manufacturing Supervisor

Responsibilities:

Led performance measures for 20 technicians, resulting in 30% OEE increases on all lines
Wrote scripts to clean and manipulate data as well as plotted teh trends of wafer defect for team need
Identified equipment utility by product types and process time through generating dashboards
Developed a monitor flow which outperformed total cycle time by 60% and combined wif six sigma analysis, which achieved pilot reduction of 50 wafers and increased productivity up to 50% per day
Initiated Sikuli Automation, which uses image recognition to identify and control GUI components on wafer defect identification and analyzed reasons for error rates, resulting in 30% manpower reduction

Confidential

Summer Intern

Responsibilities:

Researched, designed and conducted experiments to make passengers transfer seamlessly
Investigated headway data of buses and formulated teh Bus and MRT interchange schedule through Excel to reduce passenger commuting time by 10%
Collected passenger transaction data and conducted passenger flow volume analysis to reduce redundant vehicle configuration and station attendants to benefit cost 15%