Alexis Saavedra

Experience

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  Instituto de Informática Educativa - Universidad de La Frontera

  Oct 2012 - Feb 2013

  Alumno laborante

  Ayudante de investigación. Creación de una interfaz de programación para la implementación de estadísticas de uso de sistemas de software.

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  Laboratorio Cosmético Avellina

  Aug 2013 - Sept 2013

  Practicante - Analista

  Levantamiento de sistema de inventarios, generación de controles de los procesos del laboratorio.

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  Natura Austral S.A.

  Nov 2013 - Jan 2014

  Consultor

  Implementación de sistema ERP y CRM.

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  Coca-Cola Embonor

  Jan 2014 - Feb 2014

  Intern

  Encargado de proyecto de reemplazo de equipo informático, creación de un sistema informático de control de acceso a la sala de servidores centrales.

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  IBM de Chile

  Jan 2015 - Jun 2015

  Intern
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  BNP Paribas Cardif

  Dec 2015 - Aug 2020

  Led a Data Analytics squad working on the company's strategic partnership (insurance in banking and financial services).Machine learning, product recommendation, lead scoring, KPIs, customer segmentation, data warehousing, business intelligence, campaign performance. High level analytics allowing me to turn data into insights to drive decisions for our own business and our partner's. Development of Machine learning models for product recommendation, deployment through APIs, dashboards for evaluating model performance. Lead scoring. Working with data from our distribution partners to deliver value for both parties. Clients segmentation using Unsupervised Learning. On-site with the company's strategic partner (insurance banking).Pandas, sci-kit learn, SQL Server, matplotlib, Flask. Consolidation of data from diverse origins into a Single source of truth. Development of the company's data warehouse. Handling data in the tens of millions of rows and performing analytics on them: retention curves, business indicators, people analytics, analysis of claims. Data quality, data architecture, business intelligence. Used mainly SQL Server, MS Visual Studio, Qlik and MS Excel. Generation, deviation analysis and reporting of Operation KPIs to Head Office. Data extraction and modelling using ETLs. Data quality. Reports to all levels of the organization, automated and self-served. Projection of key metrics for budgetting efforts. Used mainly SQL, MS Excel, VBA, Qlikview.

  • Data Analytics Leader

    Oct 2019 - Aug 2020

  • Data Scientist

    Nov 2018 - Sept 2019

  • Data Engineer

    Apr 2017 - Nov 2018

  • Performance Engineer

    Dec 2015 - Apr 2017
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  Xepelin

  Jun 2021 - May 2023

  Responsible for the creation and execution of a Data Science strategy for the Company as well as leading a team of data scientists to achieve it. Oversaw the development of Machine Learning models and other analytical assets to optimize Xepelin’s decision making process.End-to-end product development: from ideation and planning to deployment and monitoring.Worked side by side with stakeholders to maximize impact and ensure smooth integrations upon releases.Some models developed: Risk classification, Customer Lifetime Value, Pricing, Propensity models, Lead scoring. Show less Worked closely with Growth to develop ways to use our data that would increase user acquisition, recurrence and retention. Very applied position with fast iterations of insights-hypothesis-testing. During this time I saw a monthly revenue increase of more than 3x!Developed a pricing model for the nascent business of Mexico.Did a Customer Segmentation that today is central to the Company.Used a statistical model to increase dramatically the efficiency of one of our core applications, that was compromising our ability to do our business. Responsible for the engineering of deploying the models to production. Show less

  • Data Science Lead

    Mar 2022 - May 2023

  • Growth Data Scientist

    Jun 2021 - Mar 2022