UIUC_Wangming_Yuan_DataAnalyst_resume
SUMMARY
Detail oriented data analyst with strong experience cleaning and analyzing data with Python and MATLAB. Experienced with database and data structures. Oracle database SQL certified associate.
EDUCATION
University of Illinois at Urbana-Champaign August 2015—December 2018
Bachelor of Science in Computer Engineering GPA: 3.28/4.0
SKILLS
• One-year experience in data clean up and data analytics with Python, MATLAB, and Scikit-learn
• Proficient in SQL and database structures
• Experienced with Windows and Linux based systems and command line control
• Proficient in C, C++, x86 assembly
• Experienced with Java, HTML, CSS, JavaScript
• Fluent in Chinese and English
EXPERIENCE
• MobileDog McLean, VA
Data analyst May 2019—present
Analyzing data gathered from multiple weather stations from 1923 to 2018, implemented a parallel method to read and clean up the data to boost the performance by 8 times. Training machine learning models based the data to predict the likelihood of flight being delayed.
• SAVANT Research Champaign, IL
Research Assistant May 2018—December 2018
Assisted in the SAVANT research project under Dr. Junming Wang in UIUC. Performed data verification in MATLAB, built and managed equipment for experiment.
• Vacafun Trip planner Champaign, IL
Team Member January 2018—May 2018
Developed a website for users to plan ski-trips in a group of 4. Users could select from approximately 50 ski resorts according to their preference and budget. Designed and normalized relational model, implemented SQL query, insert, delete, and update functionalities.
• NOAA Cloud Formation Project Champaign, IL
Project Assistant November 2017—May 2018
Assisted in the Lake-Effect Snow Project funded by NOAA and UIUC, performed data cleanup of thousands of images from NOAA satellite over Chicago area via MATLAB. Classified the data based on the RGB value of pixels for each image to perform boundary detection.
• Alarm Prediction Champaign, IL
Team Member August 2016—November 2016
Integral member of three-man team that used KNN algorithm and Bayes classifier to learn and classify real data from 100 patients and to predict abnormality of the patient. Designed the Bayes classifier and wrote the MATLAB script to implement the basic machine learning algorithm.
SUMMARY
Detail oriented data analyst with strong experience cleaning and analyzing data with Python and MATLAB. Experienced with database and data structures. Oracle database SQL certified associate.
EDUCATION
University of Illinois at Urbana-Champaign August 2015—December 2018
Bachelor of Science in Computer Engineering GPA: 3.28/4.0
SKILLS
• One-year experience in data clean up and data analytics with Python, MATLAB, and Scikit-learn
• Proficient in SQL and database structures
• Experienced with Windows and Linux based systems and command line control
• Proficient in C, C++, x86 assembly
• Experienced with Java, HTML, CSS, JavaScript
• Fluent in Chinese and English
EXPERIENCE
• MobileDog McLean, VA
Data analyst May 2019—present
Analyzing data gathered from multiple weather stations from 1923 to 2018, implemented a parallel method to read and clean up the data to boost the performance by 8 times. Training machine learning models based the data to predict the likelihood of flight being delayed.
• SAVANT Research Champaign, IL
Research Assistant May 2018—December 2018
Assisted in the SAVANT research project under Dr. Junming Wang in UIUC. Performed data verification in MATLAB, built and managed equipment for experiment.
• Vacafun Trip planner Champaign, IL
Team Member January 2018—May 2018
Developed a website for users to plan ski-trips in a group of 4. Users could select from approximately 50 ski resorts according to their preference and budget. Designed and normalized relational model, implemented SQL query, insert, delete, and update functionalities.
• NOAA Cloud Formation Project Champaign, IL
Project Assistant November 2017—May 2018
Assisted in the Lake-Effect Snow Project funded by NOAA and UIUC, performed data cleanup of thousands of images from NOAA satellite over Chicago area via MATLAB. Classified the data based on the RGB value of pixels for each image to perform boundary detection.
• Alarm Prediction Champaign, IL
Team Member August 2016—November 2016
Integral member of three-man team that used KNN algorithm and Bayes classifier to learn and classify real data from 100 patients and to predict abnormality of the patient. Designed the Bayes classifier and wrote the MATLAB script to implement the basic machine learning algorithm.