Livia Ciabati

Innovation Consultant @Hospital Israelita Albert Einstein

✔️ ITML Engineer💼 C-level ExecutiveData Scientist🧨 ConsultingSystem ArchitectData Engineer🧮 EducationBackend DeveloperFrontend DeveloperScientistWeb DeveloperBusiness AnalystAdvisor🎓 StudentData Analyst

Doctor in Public Health, at Medical School of Ribeirão Preto, believes that software and hardware can empower women and make the world a fairer and healthier place. Bachelor's degree in Biomedical Informatics, by the Faculty of Philosophy Sciences and Letters of Ribeirão Preto and Medical School of Ribeirão Preto. I am accustomed to and enjoy working with teams from diverse backgrounds. I focus on how technology can improve people's lives. I advocate for bringing more women to STEM, specially in positions of power. Since 2021, I have focused on developing my leadership skills to make my team thrive. As a Latin-American woman, public health scientist, women’s advocate, and developer, I can bring a unique point of view for a worldwide, integrative approach of excellence Developer and data analyst with 10+ years of experience. • Implemented a new module to perform NLP tasks • Developed a model to detect pregnant woman based on health procedures and with 95% of accuracy • Produced a series of data analyses that helped the development of the new WHO Intrapartum care guideline • Developed web system that sent 22,296 SMS to pregnant women and partners • Strong technical background due to academic training and professional experience: Bachelor's, Master's and PhD degrees from the best university in Latin America (TOP#1) • International experience in U.S. and Europe • Used to work remotely away from the team

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Work Background

Hospital Albert EinsteinInnovation Coordinator (P&D)

May. 2022

Centro Universitário Barão de MauáProfessor

Feb. 2022Ribeirão Preto, São Paulo, Brazil

VittaData Scientist & Tech Lead

Feb. 2021 - Apr. 2022• Developed a model to detect pregnant women based on health procedures with 95% accuracy on validation; • Presented the results for the health team and the stakeholders and gained their trust about using the model; • Lead and manage a team of 3 people, working on their personal and professional development; • Created awareness and recognition for my team’s results, leading to promotions; • Created and implemented the MLOps protocol for the company (MlFlow, Kedro, Docker).

Kidopi - Soluções em InformáticaDeveloper and researcher

Jul. 2019 - Jan. 2021Ribeirão Preto, São Paulo, Brasil- Implemented a new module in the system to allow text annotation to create a new corpus for natural language processing (PHP, MySql, MongoDB, JavaScript, JQuery, Html, CSS, GIT); - Developed an API (Flask) in Python to integrate with the new module, allowing automate text annotation (Json); - Listed and tested classic natural language processing (NLP) algorithms for the evaluation of the new FAQ system to be developed.

WHO SELMA Project (FAEPA – partnership with World Health Organization)Project Manager

Jan. 2018 - Jun. 2019Ribeirão Preto• I manage a team that developed a decision support app for intrapartum care (under WHO evaluation) • Created and validated models using machine learning to classify risks of negative outcomes for the woman or baby, risk of cesarean delivery and risk of interventions • Advisement of 4 undergraduate students during scientific initiation • Writing and publishing papers related to the analyzes performed

WHO BOLD Project (FAEPA – partnership with World Health Organization)Data Manager

Nov. 2013 - Dec. 2017Ribeirão Preto• Developed scripts to orientate data correction in around 10,000 cases, dropping error rate from 52.6% to 1.5% • Produced a series of data analyses that helped the development of the new WHO Intrapartum care guideline: https://www.who.int/reproductivehealth/publications/intrapartum-care-guidelines/en/ • Produced aggregated results for reporting to WHO technical unit (RHR/MPA), WHO BOLD Project steering committee and the BMGF officers • Assisted the WHO technical unit in interpreting and analyzing the performance of project collaborators to monitor project implementation in Uganda and Nigeria

PRENACEL ProjectData Analyst and System Developer

Nov. 2013 - Dec. 2016Ribeirão Preto• Developed a web system that delivered 22,296 SMS messages to pregnant women and their partners; • Ensured the quality of data reported by project collaborators in 4 maternity hospitals, a total of 1,380 cases and 564 variables; • Wrote and published 2 papers related to the project.

World Health OrganizationConsultant

Dec. 2015 - Dec. 2015Geneva e Região, SuíçaTemporary Adviser to the World Health Organization (WHO) for BOLD Project. The BOLD (Better Outcomes in Labour Difficulty) project is a research consortium formed by the Gates Foundation, WHO, M4ID, Finland, University of Ibadan, Nigeria, Makarere University, Uganda, and University of Sao Paulo, Brazil for a two year study to develop innovative tools for improving outcomes during childbirth.