Hansi Zhong

AI graduate student with expertise in machine learning, data processing, and deep learning. Skilled in Python, with hands-on experience in developing CNN models for image segmentation, creating efficient NLP solutions, and implementing data analysis processes. Eager to apply technical skills to drive innovation in tech-focused environments, especially in AI.

• A NLP-Based Data Analysis Method Design for Game Environment Analysis and Prediction: Responsible for designing the overall development process, writing code, and preparing an analysis report., Using Python to write a crawler tool to crawl the comments and data related to the game environment in a major player community, Baidu Post Bar, in the past three months., Using natural language processing method to clean the data, customized a word segmentation library for sentiment analysis, and evaluated the overall public opinion trends reflected from the changes of scales over 3 months in social media.
• An OpenCV-Based Somatosensory Music Game Design: Responsible for designing the overall content and framework of the game, writing proposal, managing project code, developing the main program, and allocating tasks within the group., Using camera as the motion capture medium, using Google's open-source computer vision library, OpenCV, to process the player's action input, and Pygame library to develop the engine, to create a somatosensory music game (hand movement mode available only).
• A Matlab-Based Software Design for Cell Image Segmentation and Statistics: Responsible for writing the program and designing the UI., Using Matlab to write a software that processed cell images; functions include segmenting a single cell image, counting cell number, and calculating cell perimeter.
• Bird Sound Segmentation Model: Use Deep Learning-based methods to build an Image Segmentation Model for bird sound and calculate IoU(Intersection over Union) score over test datasets to evaluate the model.