ProjectsJanuary 1, 2024Bird Data Analysis
This project performs exploratory data analysis on bird observation data, uncovering patterns in species distribution, migration, and population trends. The analysis combines statistical methods with visualization to reveal insights about avian ecology.
- Species Analysis: Examine distribution patterns of different bird species
- Temporal Patterns: Identify seasonal and migration-related trends
- Geographic Distribution: Map bird observations across different regions
- Population Insights: Track population changes over time
- Data Exploration: Initial analysis to understand data structure and quality
- Statistical Analysis: Correlation analysis and trend identification
- Visualization: Geographic mapping and time series visualization
- Pattern Recognition: Identification of significant ecological patterns
- Python: Core analysis and programming
- Pandas: Data manipulation and aggregation
- Visualization Libraries: Matplotlib, Seaborn for charts and graphs
- Geospatial Tools: Mapping bird observation locations
The analysis revealed interesting patterns in species distribution and seasonal movement, contributing to ecological understanding and conservation efforts. Related projects
Airline Revenue Optimization System
Designed a predictive ML system for airline passenger no-shows to maximize overbooking revenue using cost-sensitive learning and Monte Carlo simulationsF1 AI Race Predictor
Built an end-to-end race prediction platform using historical race data, weather, driver performance, and qualifying results, achieving 68.5% accuracyPortfolio Optimization Dashboard
Designed a full-stack investment optimization system supporting strategies like Markowitz, Black-Litterman, and Risk Parity, with real-time analytics dashboardsNashville Airbnb Data Analysis
Enhancing InsideAirbnb.com with Predictive Analytics on Nashville Listings: A Data-Driven Approach to Price and Rating PredictionsRestaurant Review Data Dive
Uncovering Customer Satisfaction Drivers through Sentiment Analysis and Predictive Modeling of Restaurant Reviews across Multiple StatesCar Sales Data Dive
Predicting Car Sale Prices through Advanced Data Cleaning, Feature Engineering, and Regression ModelingLyft Market Analysis
Lyft Market Expansion Strategies and Optimization in Washington D.C. using Tableau visualizationCOVID-19 Clustering Analysis
Comparing Spectral Clustering with K-means and KNN to determine relationships between COVID-19 transmission peaks
