Jose Luis Espejel C.
Data science with expertise in Python and PostgreSQL
• I was in charge of developing a customer classification algorithm from mobile app data that is the foundation of the loyalty program. This program has increased the conversion rate from common customer to mobile by 50% and the retention rate by 75% • I created an R Shiny Web App applying machine learning algorithms for classification and regression to evaluated more than 12 thousand gas stations in Mexico, to help the sales team attract customers to Gulf. The recommend stations increased their sales with Gulf by over 20%. • For a specific project, I had to change my mindset from a Data Scientist to a Data Engineer. Developing an ETL process with Python, AWS, Mongo dB, and PostgreSQL. • I helped assess the incidence in the last elections in Mexico. Using Natural Language algorithms we evaluated over 1 thousand reports from the election observers, to attend live troubles during the democratic process.