Gayatri Ayodhya (ayodhya97)

2022: Predict Clicked Ads Customer Classification by using Machine Learning

I'm trying to predict which users will click on an ad product that is displayed on a website. I use the classification method with various algorithm experiments as a comparison, where the Gradient Boosting algorithm has the best performance results. The result is that the model can predict whether someone will click on an ad product with 95% accuracy. So that by applying this model can optimize the revenue results that will be obtained.

2022: Analyzing eCommerce Business Performance with SQL and Tableau

From the aspect of Annual Customer Activity Growth, new customer growth occurred in 2017, this was indicated by an increase in both the number of new customers and the number of Monthly Active Users MAU. The average number of orders made only once. Meanwhile, from the aspect of Annual Product Category Quality Analysis, there is an increase in the company's total revenue every year. The product category that received the largest revenue and the most orders came from Health Beauty. In addition, the most popular type of payment from year to year is credit cards.

2022: Holiday Package Prediction
Build Machine Learning model classification for predicting users who have the potential to buy Wellness Tourism Package.

2022: Eksplorasi dan Visualisasi Data COVID-19 di Jawa Timur menggunakan Pandas dan Matplotlib

The trend of COVID-19 cases in East Java shows a higher accumulation of recovered cases and with time it is increasing. There was no significant increase in the accumulation of dead cases with a range still below 50000 cases, but there was still a slight increase starting from July 2021. Almost the same as the accumulation of deaths, for positive accumulation only a slight spike occurred around July-August 2021 and again in February 2022.