Jie ZHANG

Seeking a Phd Candidate opportunity in Data Science/Machine learning by Mathematics Models

Machine learning/Deep learning project: A Weighted Recurrent Framework for Brisbane Wind Speed Prediction (2022)

· Main focus:

· Proposed a Weighted Recurrent Framework (WRF) for achieving better performance of wind speed prediction.

· Performances of different Deep learning models and reinforcement learning model, including:· Non-sequenceModels/Multi-layerPerceptron/RandomForestRegressor/SequenceModels /RecurrentNeuralNetwork/WeightedRecurrentFramework.

Data analysis project: Koalas' hospital records analysis in Queensland (2022):

· Role: Team leader

· Main focus: Data storytelling and visualization /Machine learning model selection and performance evaluation /Data cleaning processing /Statistical analysis.

Database Principle Project Report: Turtle Conservation and Research Database System:

Focus on: Database Design and building in phpmyadmin 

Capstone Project: Predicting the outcome of space missions with data science

Focus on: aims to enhance prediction models to ensure safer and more reliable first-stage landings of the Falcon 9 rocket.

Binary classification and interactive map building.