Student Assistant

Jason Rusli

(***) *** – **** **********@*****.***

linkedin.com/in/jason-rusli-9b241816a

EDUCATION

Texas A & M University Bachelor of Science in Industrial & System Engineering Minor in Engineering Project Management

Class of 2021 GPA: 3.8 / 4.0

Awards: Trecie A. and Randy D. Hoff Scholarship

WORK EXPERIENCES

Research Assistant Texas A & M University December 2020 – present

• Implemented Random Survival Forest model to seizure survival dataset for healthcare application using Python and R.

• Conducted data pre-processing and model improvement iterations to achieve a robust model with an accuracy of greater than 90%.

• Utilized TSFRESH in Python to extract important features from the brain’s frequency raw signal and studiously select 8 frequency ranges for model training.

• Regularly revised the model to be capable of predicting seizure in epilepsy patients at least 10 minutes before onset. Student Assistant Texas A & M Transportation Institute February 2019 - present

• Process 30 days of data from Traffic Recording System for Weigh in Motion projects by utilizing Microsoft Access.

• Develop a calibration micro to sort more than 10,000 files input and perceive better data quality utilizing VBA.

• Conducted site-testing and preliminary research in support of current and future projects.

• Continuous exploration and improvement research to increase the efficiency of the current sensors by 50%. Teaching Assistant Texas A & M Engineering Experiment Station September 2020 – present

• Tutored 75 students to reinforce lean and six sigma concepts by facilitating a weekly review session.

• Graded homework and assignments weekly.

• Led a team to create homework and quizzes based on materials taught in class and books. ACADEMIC PROJECTS

Quality Engineering – Lean Six Sigma Factory Quality Improvement Project

• Analyzed real-world factory production data using Six Sigma tools and performed quality improvement in Minitab.

• Identified bottlenecks and developed a statistical process control to improve the overall production quality by 30%. Facilities Design and Material Handling – Facility Layout Design Project

• Optimized new facility warehouse in India by implementing the CORELAP method.

• Created a recommendation report to help establish an optimized layout that maximizes workflow efficiency in the warehouse.

Advanced-Data Analytics – NBA Salary Project

• Utilized machine learning techniques in R to analyze the complexity of NBA player’s salary and attributes relationship.

• Successfully achieved a classification model with 88% accuracy by including 3 years' worth of NBA player’s salary and statistics data.

CERTIFICATES

Green Belt Lean Six Sigma Machine Learning A-Z™: Hands-On Python & R in Data Science Supply Chain Principles Data Science A-Z™ Statistics for Business Analytics and Data Science A-Z™ TECHNICAL SKILLS AND PROFICIENCIES

Data Analytics Programming (VBA, Python, Java, R, SQL) Lean Six Sigma Techniques Software (SolidWorks, AutoCAD, Minitab, Simio, Tableau, Gretl)

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