Web Scraping Automotive E-commerce

The used vehicle market in Peru has grown a lot after the pandemic caused by covid-19, resulting in an interesting segment to start a business. The objective of this project was to obtain information on this segment, such as market prices, number of vehicles for sale, vehicle characteristics,...

Analyze Forbes Worlds Billionaires List 2022

This was my proposal for Onyx Data #dataDNA Challenge June 2022 - Forbes Worlds Billionaires List 2022.

Calculator seller's income visual with Power BI

The use of parameters in POWER BI allow to add values ​​​​to calculate and estimated in live some metrics that the business needs. For example, in this proposal, you can view information about an automotive company, sales, stock, and the sellers can interactive with this dasboard for estimated...

Churn Prediction - Subscription business model

In our country, after the pandemic, the number of competitors in different industries increased, and this meant that investment in traditional and digital channels to reach new customers must be greater. If the strategy for attracting new clients is not accompanied by a RETENTION strategy for...

Car Price Prediction (Supervised Methods)

This project shows the supervised methods application in a dataset about used cars. We using python libraries to clean and analyze the information and applied different models (Random Forest, Gradient Boosting, Decision Tree) to predict the car prices. Using MAE and MSE to choose the best model.

Hotel Reservation Prediction

The goal of this project is to create a model to predict which customers have a high probability of confirming the reservation. Different types of supervised models such as decision tree, random forest, xgboost and logistic regression were used and the best one was selected using different metrics.