💻 Projects:

1. Developed KNN regression model using Python and scikit-learn to predict total products purchased and generated correlation heatmap to uncover patterns in a 50,000 row Kaggle dataset using Python and Pandas. Created interactive Tableau dashboards with purchase maps by country/city and bar charts of product reviews by country and gender.

1. Built an HTML site with interactive Altair visualizations on 25,000 hospital readmission records across 17 variables, with stacked bar and multi-line charts featuring selectable legends and mouseover tooltips.

1. Designed a normalized relational schema and loaded 10,000 rows into a MySQL database via R, enabling efficient querying and management of aircraft incident data.
2. Developed SQL queries, stored procedures, and R procedures to create, insert, and delete database records, improving data accessibility and enabling analysis of aircraft incident trends.

1. Cleaned and preprocessed 3,697 rows of nationwide university data using Python.
2. Collaborated on building an interactive scatter plot of 1,299 data points with Plotly, Pandas, NumPy, and Dash, supplemented by radar charts comparing tuition, academic, social, facilities, career, and diversity metrics.

1. Developed Python functions to analyze 2,000+ video game records across North America, Europe, and Japan (Kaggle dataset), analyzed trends by genre and region.