Luiza Moraes Gazola

14 years of experience in Business Analytics and Information System Data Savvy, been applying statistics and Machine Learning (ML) to solve critical business issues Expert on statistical modelling, data exploration and insights generation Intrapreneur at Accenture, responsible for building and expanding predictive analytics practice Entrepreneur at Appriori Legal Tech startup as co-founder Member of Innovation Group as solution architecture designer - prototyping solutions combining big data, Artificial Intelligence (AI), Internet-of-Things (IOT), mobility.

Informações coletadas do Lattes em 20/10/2022

Acadêmico

Formação acadêmica

Mestrado em Engenharia Eletrica

2003 - 2005

Pontifícia Universidade Católica
Título: The log periodic model for financial crashes forecasting: an econometric investigation.,Ano de Obtenção: 2006
Cristiano Fernandes.Bolsista do(a): Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq, Brasil.

Graduação em Engenharia Elétrica

1998 - 2002

Pontifícia Universidade Católica do Rio de Janeiro, PUC-Rio
Título: Um estudo da Estatistica BDS
Orientador: Cristiano Fernandes
Bolsista do(a): Pontificia Universidade Catolica, PUC, Brasil.

Idiomas

Bandeira representando o idioma Inglês

Compreende Bem, Fala Bem, Lê Bem, Escreve Bem.

Bandeira representando o idioma Espanhol

Compreende Razoavelmente, Fala Razoavelmente, Lê Razoavelmente, Escreve Razoavelmente.

Bandeira representando o idioma Italiano

Compreende Razoavelmente, Fala Razoavelmente, Lê Razoavelmente, Escreve Razoavelmente.

Produções bibliográficas

  • GAZOLA, L. ; PIZZINGA, A. ; RIERA, R. . The log-periodic-AR(1)-GARCH(1,1) model for financial crashes. EUROPEAN PHYSICAL JOURNAL B , v. 61, p. 355-362, 2008.

Prêmios

2018

Global Legal Hackthon, GLH.

Histórico profissional

Endereço profissional

  • Accenture. , Avenida República do Chile, 500, Centro, 20031170 - Rio de Janeiro, RJ - Brasil, Telefone: (21) 45019000

Experiência profissional

2007 - Atual

Accenture

Vínculo: Celetista, Enquadramento Funcional: Data Scientist Manager, Carga horária: 40

Outras informações:
? Responsible for building and expanding predictive analytics practice at Accenture Brazil. Starting in March 2015 with 3 data scientists. With an impressive growth, up to 32 team members (data scientists and data engineers) as of current date. ? Predictive Analytics Team is formed by multi-talent skills, from statisticians, computer scientists, econometricians, engineers, mathematicians, software engineers and designers. From interns to managers. ? Predictive Analytics Practice is responsible to deliver Advanced Analytics solutions to all types of industries: Financial Services, Telecommunications, Media, Retail, Consumer Goods, Oil & Gas, Mining, Chemistry, Agribusiness, Healthy, others. ? Some examples of offerings supported by Luiza?s team: Data Exploration and Insights; Customer Analytics (Segmentation, Pricing Optimization, Geomarketing Analytics, Propensity Models); Operation Analytics (Demand Forecasting, Predictive Asset Maintenance, Network Optimization); Network/Link Analysis; Social Media Listening and Sentiment Analysis; Credit Risk and Fraud Analytics. ? Luiza as Practice Lead is responsible to guarantee financial growth of the area, work in opening new opportunities together with Accenture Management Consultant and Sales Team to leverage Accenture?s go-to-market capabilities. ? Luiza as Team Lead is responsible to guarantee a motivated and collaborative environment, promoting internal hackathons, knowledge sharing sections, internal and externals recruiting, annual performance feedback and training plan. ? Luiza as Data Science Technical Lead is responsible for architecture solutioning design, QA of project deliverables. This role requires that Luiza is always front and up to date on new techniques and technologies like ML, Big Data, Deep Learning, to guide her team finding data insights, to deliver optimal and more accurate solutions. ? Luiza is also responsible for the Innovation front inside Innovation Delivery Center in Rio. Thi

2017 - Atual

Appriori

Vínculo: Pro-labore, Enquadramento Funcional: Advisor, Carga horária: 10

Outras informações:
 Appriori is a brand-new startup focus on artificial intelligence solution applied to legal business. Appriori Contratto is our SaaS solution for intelligent and automated legal documentation analysis. We have two pilots running in major Brazilian?s law firm departments. We are in the stage of funding raise (seed capital) to scale our solution Appriori Contratto.