Lidera y desarrolla la estrategia de Growth Binacional (CL y PE) de cara a la cartera de clientes de la App, con foco en la Adquisición, Fidelización, Retención y Fuga de clientes. Algunos resultados. -2pp en tasa de fuga, -16% de CAC y -25% de COR. Profundizando en la relación con los clientes mediante comunicaciones de la propuesta de valor, promociones, ofertas y nuevos productos que los cautiven y los hagan mantener su preferencia. Trabajo interno y/o coordinado con áreas de analítica y BI para la toma de decisiones centrada en datos.

Leads and develops the Advanced Analytics area, managing its operation (team and infrastructure includes); Designing and implementing predictive and prescriptive models to improve results of commercial áreas. Lead a team of 2 Data Scientists and a Data Engineer. Some projects to highlight: Estimation of customer spending. Omnichannel commercial recommendation engine, in conjunction with an international external consulting firm, using Agile methodology (Scrum)

Responsible for the definition, implementation and monitoring of the Cencosud Card Customer Activation, Deepening, Loyalty and Retention Strategy, focused on managing initiatives to meet objectives through adhoc offers. In charge addition to maintaining the relationship with Puntos Cencosud, to define strategies, the area generates the necessary quantitative analyzes based on information from the different customer and business databases. Also in charge of budget control. With a team of 2 bosses and an analyst in charge.

In charge of the segmentation of members of the LATAM Loyalty Program for marketing commercial campaigns, generating machine learning models to different market realities. Also responsible for the harmonization of the Loyalty programs of LAN and TAM in the context of a merge process

Responsible for the design and coordination of projects to improve the quality of BancoEstado databases. Managing data update campaigns, purchasing data from external suppliers, performing data cleaning and integration of flows through in-person and digital channels.

Participates in different Business Intelligence projects, such as the generation of Small Business customer segmentation, Machine learning Models for Credit Cards and different customer knowledge projects. Intensive use of databases and statistical tools for analysis.