Sherry Huang's Projects
copy of 2024 Winter I Talent Analytics course repo
Analyzing the AGI sector to identify influential yet lesser-known founders through network analysis. This project applies centrality metrics and community detection to highlight key individuals who are central in their networks but may not have wide public recognition.
UofTSTG Data Boot Camp Homework6
The project goal is to predict the IMDb ratings of the twelve upcoming blockbusters through statistical model training using about 2,000 movies on IMDb while targeting general modelling issues.
The project focused on improving Concord, a Montreal travel agency, with a Chatbot. It aimed to enhance the current website by providing personalized services using machine learning. Four scenarios were integrated to elevate the customer experience, centering on three key travel aspects.
This project focuses on leveraging the DataCo Smart Supply Chain dataset from Kaggle to build predictive models that serve critical business functions: forecasting monthly demand, detecting fraudulent orders, and clustering orders to identify common traits in fraud cases.
Generated reports and tables that broke down a game's purchasing data into meaningful insights.
Tackled the question of hit songs prediction by focusing on data subtracted from the past three decades. Datasets were built to try to find changes in hit music features and differences. ML models were built to train and test, Random Forest and Support Vector Machine appeared to be the ones with highest accuracy in both cases.
UofTSTG Data Boot Camp Homework9
personal repository
Created a table dynamically based upon provided dataset, allowed users to filter the table data for specific values.
UofTSTG Data Boot Camp Homework14
UofTSTG Data Boot Camp Homework5
Analyze customer reviews from McDonald's across the U.S. using NLP techniques to uncover insights into customer satisfaction and preferences. This project employs libraries like NLTK, spaCy, and VADER to perform sentiment analysis, topic modeling, and data visualization to inform business strategy enhancements.
UofTSTG Data Boot Camp Homework12
A collective list of free APIs for use in software and web development.
UofTSTG Data Boot Camp Homework3
Utilizing Gurobi Optimizer, this project explored two ILP models—maximizing number of tiles played and maximizing total value of tiles played—to optimize tile placement in the two-player Rummikub game.
UofTSTG Data Boot Camp Homework7
UofTSTG Data Boot Camp Homework8
Compared socio-economic data from 38 countries to analyze trends in suicide rates using linear and non-linear models; plotted and presented findings using line chart, bar plot, scattered plot and Google Heatmap.
UofTSTG Data Boot Camp Homework10