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Webster University i i

Predicting Mortgage Payback pay off in RMBS

Oct 2022

Saint Louis, MO

Using R-studio, packages: ggplot2, caret, tidyr to process data, interprete attributes, building models and graphs Models like: GLM, KNN, C.50 tree and Random Forest are built and tested Through comparing different models outputs, to predict the protential group of people who can payback. Analyze On Unstructured Space Data

May 2022

Using Python inside Spyder through the project

Finding the station IDs and format the data according to the initial of each station name Extracting the date-time variable and filled the NAs with ffill Netflix Data Analyzes

Dec 2021

Detecting ships in satellite images referenced on codes from Kaggle Anacondam Kerras and Jupyter are utilized with Python during the project Detecting Ships In Satellite Image

May 2020

Detecting ships in satellite images referenced on codes from Kaggle Anaconda, Keras and Jupyter are utilized with Python during the project Webster University i i

Science in Data Analytics Master

Aug 2021 - Dec 2022

Saint Louis, MO

GPA: 3.57/4.00

Webster University i i

Science in Mathematics Bachelor

Jan 2018 - Jan 2019

Saint Louis, MO

GPA: 3.31/4.00

Skills: ill Word, Excel, Power-point, Python, R-studio, Power BI, MATLAB Languages: Fluent in English Native in Mandarin and Cantonese Chun Ning (Joseph) Yip

618-***-**** adu45c@r.postjobfree.com

Saint Louis, MO

https://www.linkedin.com/in/chun-ning-yip-4a0a7a19a PRACTICAL EXPERIENCE

EDUCATION

MISCELLANEOUS