Hi! My name is Pablo Esteban López-Tello. Welcome to my Data Science Portfolio!
Know more about me and check out my portfolio below.
A lead scoring analysis is conducted for an online teaching company with a low client conversion rate. The goals are to reverse this trend by using a machine learning model based on available company data and to categorize customers with an effective segmentation.
A forecasting model is developed to reduce warehouse costs and stock-outs by using a scalable set of recursive machine learning algorithms. This model predicts demand for the next 8 days at a store-product level, based on the historical data provided by the company.
An interactive and dynamic dashboard has been developed for a hotel group. The main KPIs, including turnover, ADR, number of reservations, occupancy rate, RevPAR, and cancellation rate, are visualized in the dashboard along with other relevant metrics.
An extensive Conversion Rate Optimization (CRO) plan is developed to reverse the stagnant trend in an ecommerce company and drive a significant increase in its revenues. This plan consists of 10 specific initiatives, categorized into five key business levers.
Two underperforming photovoltaic solar plants are being analyzed to determine the root cause of the problem. The analysis considers several perspectives, including sensor data, energy generation, and the efficiency in the energy conversion.
The available public AirBnb data is analysed to find insights that can help to understand the characteristics of the vacation rental market in Madrid (Spain) and guide the team’s research work in terms of rental prices, occupancy levels and purchase prices.