Haoyang Shi

Experienced Web Developer with passion for creating attractive and interactive websites meeting customer needs and exceeding expectations. Excels in HTML, CSS, JavaScript and PHP development. Familiar with react framework and flask web layout

Develop 'Nutrition Fanclub' web app promoting healthy eating habits:

Utilized React for front-end and PHP for back-end. Involved in full development lifecycle, focusing on user experience and data integrity. Enabled nutritional education through user-friendly interfaces and personalized content.

Developed machine learning-powered Pet Illness Detection feature for PetDesk app:

Implemented decision tree algorithm analyzing symptoms to predict pet health crises with 85.66% accuracy. Overcame data challenges through rigorous preprocessing and model evaluation methodologies. Enabled early detection of critical conditions, enhancing pet healthcare management.

Google Play Store Success Analysis:

Analyzed data from 11,000 apps to identify success factors in the Google Play Store. Utilized Python, Pandas, Matplotlib, and Seaborn for data cleaning, processing, and exploratory data analysis. Insights into app ratings, user engagement, and market trends informed strategies for app development and marketing.

Housing Market Price Prediction:

Conducted an in-depth analysis of housing market data to build predictive models for home prices by utilizing Python, and evaluating models via MAE, MSE, and R-squared. Explored techniques like Simple Linear Regression, Multiple Linear Regression, and Locally Weighted Linear Regression (LWLR) to determine the impact of factors.