Farrell Wahyudi 's repositories
Predicting-Ad-Clicks-Classification-by-Using-Machine-Learning
In this project I used ML modeling and data analysis to predict ad clicks and significantly improve ad campaign performance, resulting in a 43.3% increase in profits. The selected model was Logistic Regression. The insights provided recommendations for personalized content, age-targeted ads, and income-level targeting, enhancing marketing strategy.
Analyzing-eCommerce-Business-Performance-with-SQL-and-Python
In this project, I conducted an in-depth analysis of the performance of an eCommerce enterprise. This analysis will encompass the examination of several key business metrics, including customer acquisition, product quality, and payment methods.
Data-Analysis-of-AirBnB-Listings-in-Singapore
In this project I analyzed data from AirBnB listings in Singapore from 2018 to 2022 to see how room types, location, and pandemic-induced trends have shaped Airbnb listings in Singapore over the four years. I have also created visualizations to demonstrate and explain the insights that I have gathered from the analyses.
Investigate-Hotel-Business-using-Data-Visualization
This project delves into Indonesia's dynamic hospitality industry, uncovering seasonal booking trends, the impact of stay duration on cancellations, and how lead time affects cancellation rates. Valuable insights guide hotels to optimize pricing, policies, and customer engagement, enhancing competitiveness in the Indonesian hospitality sector.
Predict-Customer-Personality-to-Boost-Marketing-Campaign-by-Using-Machine-Learning
In this project I used K-Means and data analysis to predict customer personalities and boost marketing campaigns, resulting in a significant improvement in marketing ROI. It utilized customer behavior data to segment them into distinct clusters, enabling personalized marketing strategies for each group, achieving higher conversion rates and ROI.