Yiwen Tian

*** ********* ***, *** ****, NY ***** 732-***-**** adjtrf@r.postjobfree.com

EDUCATION

Columbia University New York, NY

M.S. in Biomedical Engineering Aug 2019 - Dec 2020

Courses: Applied Deep Learning (CNN, RNN, LSTMs, Auto encoder), Applied Machine Learning (Regression, Clustering, Classification), Biostatistics, Sparse and Low-Dimensional Models for High Dimensional Data (Robust PCA, Convex/Nonconvex optimization)

Rutgers University New Brunswick, NJ

B.S. in Biomedical Engineering Aug 2014 - May 2018

Courses: Biomechanics, Bioelectric, Biomaterial, Biomedical Transport Phenomena, Cardiovascular Engineering, Measurement & Analysis in BME, System Physiology

TECHNICAL SKILLS

MySQL, Python, MATLAB, Excel (VBA), SolidWorks, SketchUp, Linux, Circuit design

PROFESSIONAL EXPERIENCES

Advanced Continuing Education Association (ACEA) New York City, NY

Data Science & Machine Learning Engineer Intern Sep 2020 - Present

• Extract, Transform and Load (ETL) 500MB customer profile data and maintain large database operation in MySQL • Develop descriptive statistics in Python on over 100,000 data to perform the Exploratory Data Analysis

• Improve model processing efficiency by 90% and increase model accuracy by 20% via ML model selection and tuning • Build machine learning models (Random Forest, NLP) to recommend related courses for physicians and improve the course click-through-rate (CTR) by 15%

• Presented data analysis results and proposed strategic solutions to 10+ project stakeholders

ACADEMIC PROJECTS

Columbia University, NY New York City, NY Heart Disease Prediction Analysis May 2020 – June 2020 • Extracted, transformed and loaded (ETL) 465 hours of cardiovascular data from American Heart Association ECG Database into SQL database • Performed data cleaning and exploratory data analysis (EDA) on over 500K rows by using correlation analysis and principal component analysis (PCA) • Built predictive models (logistic regression, KNN, etc.) to predict the key factors impacting US heart disease in Python • Summarized key findings and visualized data trends in pivot table

Columbia University, NY New York City, NY

Automatic License Plate Recognition Nov 2019 – Dec 2019 • Led a team of 3 students on extracting the rear license plate number by using Scanning Concentric Windows (SCW) method in Python • Tuned the deep learning model by adjusting number of layers and features, performed train-test-split and cross-validation, and improved model accuracy by 30% from 2-D correlation method • Visualized the analysis results by using ggplot2 and Tableau, and presented findings to the class