Sabrina L.'s repositories
Fire_Trends_Impact_Analysis
Transformed wildfire data into SQL, leveraging Python, Pandas, and interactive JavaScript dashboards to uncover trends in wildfire frequency, damage, and economic impact (2008-2022).
Movie_Revenue_Forecast
Analyzed 5,000+ movies with Pandas and Colab to build a machine learning model predicting movie revenue.
ai_stocks_5y_analysis_using_pandas
Group project analyzing top AI stocks versus the S&P 500 and Dow Jones, using cumulative returns, volatility, and ANOVA to evaluate profitability and risk
cancer_treatment_analysis_using_data_visualization_python
Evaluated SCC tumor treatments by analyzing drug effectiveness, including Capomulin, through tumor growth measurements.
climate_analysis_using_sqlalchemy
Conducted climate analysis using historical weather data, leveraging queries, visualizations, and a Flask API to serve dynamic insights.
Crowdfunding_ETL
Built an ETL pipeline to extract, transform, and load crowdfunding data into PostgreSQL, using Python and Pandas for transformation and ensuring data integrity with foreign key constraints
CryptoClustering
Applied machine learning with K-Means clustering and PCA to uncover cryptocurrency behavior patterns for enhanced market analysis.
Loan_Risk_Predictor
Built a Logistic Regression model for loan risk prediction, focusing on credit risk and improving high-risk loan detection.
MegaData_SparkProject_Home_Sales
This project used SparkSQL and PySpark to analyze home sales data, optimizing performance with caching and partitioning by build date.
Tableau_Citi_Bike
Analyzed Citi Bike data to uncover hidden issues and trends in ride duration, peak usage, and station demand, providing recommendations to optimize bike availability.
Data_Collection_Scraping
Scraped Mars news and weather data, transforming it into insights with automated collection, JSON and CSV organization, and Pandas visualizations.
Earthquake_Insights_Map
Created an interactive map with Leaflet and D3.js to visualize earthquake data, using markers for magnitude and depth with a legend for clarity.
employee_department_analysis_using_postgresql
Executed SQL queries on a PostgreSQL database to analyze employee and department data, utilizing primary and foreign keys across six tables.
financial_and_election_analysis_using_python
Analyzed financial trends and election results, uncovering profit fluctuations, monthly changes, and vote distributions for key insights.
Interactive_Microbiome_Dashboard
Built an interactive dashboard to explore microbial data from human belly buttons, using dynamic visualizations to reveal patterns across individuals.
LegallyNotBlonde
Config files for my GitHub profile.
NoSQL_Food_Data_Analysis
Managed and analyzed food establishment data with MongoDB, leveraging Python and Pandas to uncover insights on hygiene scores and ratings.
schools_analysis_using_pandas
Analyzed student performance across district schools, uncovering correlations between outcomes, school size, type, and budget for actionable insights.
sql-for-data-analysis-3271025
This is a repository for the LinkedIn Learning course SQL for Data Analysis
stock_market_analysis_using_vba
Developed a VBA script to analyze quarterly stock performance, calculating percentage changes, identifying top and declining stocks, and tracking trading volume.
Success_Prediction_Model
This project built a binary classifier to help Alphabet Soup predict applicant success using machine learning and feature selection.
weather_data_analysis_and_visualization_python
Collected, analyzed, and visualized weather data via APIs, using correlation analysis and regression, with results exported for map-based visualizations.