Welcome to My Project Portfolio
AirBnb New User Booking Prediction
Utilized supervised machine learning models such as Logistic, KNN, Bayesian, RandomForest, XGBoost, and CatBoost to determine if a new user would make a reservation within 5 days after visiting the site. Insights on user behavior led to making strategic recommendations for a marketing campaign. Developed and deployed a web app using Flask and hosted it with Heroku.
Las Vegas Hotel Price Prediction
Scraped over 3 months of hotel listing data using BeautifulSoup and Selenium. Trained, tuned, and cross-validated a regularized linear regression model to predict the hotel listing price. Exploited algorithms such as Lasso, Ridge, ElasticNet, and GridSearch for model optimization. Utilized the model to predict future hotel listing price to determine if you are being offered a deal.
NYC Subway Traffic Analysis
Developed tourist and commuter index by conducting diagnostic on NYC's subway traffic flow. Determined the most impactful subway stations based on the time and day of the week. Provided actionable insights and recommendations for event promoters based on their business goals and deliverables.