Trent Zhang

About Trent Zhang

Solid experience in Software Development, Deep Learning, Statistics, Machine Learning, Quantitative Research. Details and descriptions of my works are available in my Education Section and Project Section.Able to fuel data-driven decisions at different industries.Quantitative Research Model:A/B testing, GLM, Bayesian Model, Spatial-Temporal Analysis, ARMA Model, Kriging Model, Covariance Analysis, Monte Carlo, Survival AnalysisMachine Learning Algorithm: SVM, LASSO, Logistic Regression, Random Forest, Decision Tree, QDA, KNN, K Means, Principle Component Analysis, Hidden Markov ModelDeep learning Algorithm: Convolutional Neural Networks, Mask R-CNN, ResNet, YOLO, Recurrent Neural Networks, LSTMArtificial Intelligence Area: Computer Vision(Object detection/Dense Prediction), Natural Language Processing(N-Grams|HMM/RNN/LSTM), Search Algorithm(BFS/DFS/A*)ML/DL tools: Pytorch, Keras, Numpy, scikit-learn, Pandas, Google Colab, Google Cloud Data Analysis & Visualization tools: R(ggplot2/dplyr), Python(Matplotlib/Seaborn), VBA, SQL, SAS, TableauDatabase Systems: MySQL, Neo4j, MongoDB

Experience

1. Equity Research Associate

   M Science

   Feb 2024 — Present · US

Education

• University of Central Florida

  International Exchange Program, Mathematics and Statistics

• University of Illinois Urbana-Champaign

  Master of Science - MS, Statistics

• Central South University

  Bachelor of Science - BS, Applied Mathematics

  2016