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Analyzed the NASA Exoplanet Archive to identify Earth-like exoplanets using features like mass, radius, orbital distance, and stellar magnitude. Engineered a binary habitability label based on NASA/PNAS criteria. Built classification models (logistic regression, SVM, random forest) to predict potential habitability, multiclass models for planet type, and regression models for orbital period (ridge, polynomial). Conducted EDA to reveal trends in planetary and stellar characteristics. Evaluated models with F1-score, RMSE, cross-validation, addressing class imbalance and multicollinearity for improved performance and interpretability.

Designed and developed a comprehensive data integration pipeline that seamlessly merges weather data from the Open-Meteo API, OpenWeather API, and TIGER/Line Shapefiles into a unified format for analysis. Created interactive maps and charts to visualize current, forecasted, and historical weather data for Massachusetts counties, delivering an intuitive user interface for clear and accessible data interpretation.

Processed and analyzed Kaggle’s NYC Airbnb dataset to uncover key patterns and factors influencing the short-term rental market. Identified spatial trends using interactive heatmaps, choropleth maps, and custom plots, offering valuable insights into pricing, availability, and demand across various NYC neighborhoods.

Analyzed and visualized viewer preferences across networks and genres through bar charts. Conducted regression analysis, including Leave-One-Out Cross-Validation and polynomial regression, to explore correlations between drama duration and generated scores. Used BeautifulSoup for web scraping and Pandas for data preprocessing, ensuring clean datasets for regression analysis and visualizations with Matplotlib and Plotly.

You are here! I designed and developed this responsive website as an online portfolio to showcase my skills, experiences, projects, and other creative work.