Lincoln T Neves
Data Scientist at Cognitivo.ai- Claim this Profile
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Topline Score
Bio
Milene Jacob
Excelente profissional! comprometido.
Victor Hugo
Um ótimo profissional. Sabe trabalhar bem tanto com a parte informacional, como analítica.
Milene Jacob
Excelente profissional! comprometido.
Victor Hugo
Um ótimo profissional. Sabe trabalhar bem tanto com a parte informacional, como analítica.
Milene Jacob
Excelente profissional! comprometido.
Victor Hugo
Um ótimo profissional. Sabe trabalhar bem tanto com a parte informacional, como analítica.
Milene Jacob
Excelente profissional! comprometido.
Victor Hugo
Um ótimo profissional. Sabe trabalhar bem tanto com a parte informacional, como analítica.
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Credentials
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Desenvolvimento para Internet e Banco de Dados com Python e Django
Digital Innovation One Inc.May, 2020- Sep, 2024 -
Introdução à Programação com Python
Digital Innovation One Inc.Apr, 2020- Sep, 2024 -
Machine Learning A-Z: Hands-On Python & R
SuperDataScienceOct, 2019- Sep, 2024 -
Introduction to R Course
DataCampJan, 2018- Sep, 2024 -
R Programming A-Z™: R For Data Science With Real Exercises
SuperDataScienceNov, 2017- Sep, 2024 -
Data Mining e Big Data – Conceitos, Técnicas e Aplicações
PUC-RioOct, 2013- Sep, 2024
Experience
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Cognitivo.ai
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Brazil
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IT Services and IT Consulting
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1 - 100 Employee
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Data Scientist
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Mar 2021 - Present
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Accenture Brasil
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Brazil
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IT Services and IT Consulting
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700 & Above Employee
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Data Scientist
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Apr 2021 - Oct 2022
• Created end-to-end churn predict and clustering models for telecomunications companies, working with algorithms as Random Forest, Logistic Regression and K-means • Used Python and R scripts to train and test the models • Used Alteryx, Knime, SAS, SQL and BigQuery to transform data to apply machine learning models • Created end-to-end churn predict and clustering models for telecomunications companies, working with algorithms as Random Forest, Logistic Regression and K-means • Used Python and R scripts to train and test the models • Used Alteryx, Knime, SAS, SQL and BigQuery to transform data to apply machine learning models
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Oi
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United Kingdom
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Advertising Services
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1 - 100 Employee
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Control and Information Specialist
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Aug 2020 - Apr 2021
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Marketing Specialist
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Jun 2018 - Apr 2021
- Database manipulation with SAS and SQL. - Data cleaning with SAS. - Machine Learning: Customer segmentation with SAS, to create offers. - Budget forecast, with MS Excel. - Sales time series, with Software R. - Machine Learning: Sales Regression Analysis. - KPI analysis and monitoring. - Dashboard development in MS Excel / Power BI. - Data extraction from Tableau and Spotfire. - Generation of mailing with SAS and Python. - Exploratory Data Analysis with… Show more - Database manipulation with SAS and SQL. - Data cleaning with SAS. - Machine Learning: Customer segmentation with SAS, to create offers. - Budget forecast, with MS Excel. - Sales time series, with Software R. - Machine Learning: Sales Regression Analysis. - KPI analysis and monitoring. - Dashboard development in MS Excel / Power BI. - Data extraction from Tableau and Spotfire. - Generation of mailing with SAS and Python. - Exploratory Data Analysis with Python. - Executive reports and presentations.
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Senior Marketing Analyst
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Jun 2017 - Jun 2018
- Database manipulation with SAS and SQL. - Segmentation of customers with SAS, to create offers on mobility. - KPI analysis and monitoring. - Dashboard development in MS Excel. - Executive reports and presentations.
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Statistician
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Feb 2012 - Jun 2017
- Statistical analysis for Master/PhD students in Medicine. - Exploratory Data Analysis; Statistical Hypothesis Testing; ROC Curve; Diagnostic Test; Data Visualization. - Machine Learning: Linear/Multiple Regression. - Data analysis with Software R, MS Excel and SPSS. - Statistical analysis for Master/PhD students in Medicine. - Exploratory Data Analysis; Statistical Hypothesis Testing; ROC Curve; Diagnostic Test; Data Visualization. - Machine Learning: Linear/Multiple Regression. - Data analysis with Software R, MS Excel and SPSS.
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Oi S.A
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United States
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1 - 100 Employee
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Senior Marketing Analyst
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Sep 2014 - May 2016
- Database manipulation with SAS and SQL. - Segmentation of customers with SAS, to create offers on mobility. - KPI analysis and monitoring. - Dashboard development in MS Excel. - Executive reports and presentations. - Database manipulation with SAS and SQL. - Segmentation of customers with SAS, to create offers on mobility. - KPI analysis and monitoring. - Dashboard development in MS Excel. - Executive reports and presentations.
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LANCE! Media Group
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Brazil
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Newspaper Publishing
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1 - 100 Employee
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Database Marketing Coordinator
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Jun 2013 - Aug 2014
- Development of the Database Marketing area - Customer segmentation for Marketing campaigns - KPI development and monitoring - Executive reports and presentations - Development of the Database Marketing area - Customer segmentation for Marketing campaigns - KPI development and monitoring - Executive reports and presentations
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Junior Data Analyst
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Sep 2011 - May 2013
- Manipulation of databases with SPSS and SAS. - Machine Learning: Survival Analysis and Logistic Regression for Churn forecasting. - Machine Learning: Cluster, Factorial and Multiple Correspondence Analysis for customer segmentation. - Mapping of Marketing campaign processes. - ROI of Marketing campaigns. - Creation of Indicators for Marketing campaigns. - Executive reports and presentations. - Machine Learning projects for Ipiranga an GVT. - Manipulation of databases with SPSS and SAS. - Machine Learning: Survival Analysis and Logistic Regression for Churn forecasting. - Machine Learning: Cluster, Factorial and Multiple Correspondence Analysis for customer segmentation. - Mapping of Marketing campaign processes. - ROI of Marketing campaigns. - Creation of Indicators for Marketing campaigns. - Executive reports and presentations. - Machine Learning projects for Ipiranga an GVT.
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Unimed
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New Zealand
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Insurance
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1 - 100 Employee
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Junior Information Analyst
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Mar 2008 - Sep 2011
- Statistical Process Control. - Demand Forecasting with Linear/Multiple Regression. - Executive report and presentations - Developed the Statistical Yearbookof of the Customer Relationship Area. - Sampling form Marketing Research. - Marketing Research organization and analysis. - Created MS Excel classes with introductions Macros for employees. - Dashboard creation in MS Excel. - Data Analysis in R, MS Excel and SAS Software. - Statistical Process Control. - Demand Forecasting with Linear/Multiple Regression. - Executive report and presentations - Developed the Statistical Yearbookof of the Customer Relationship Area. - Sampling form Marketing Research. - Marketing Research organization and analysis. - Created MS Excel classes with introductions Macros for employees. - Dashboard creation in MS Excel. - Data Analysis in R, MS Excel and SAS Software.
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Education
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MBA USP/Esalq
MBA in Data Science and Analytics, Data Science and Analytics -
Pontifícia Universidade Católica do Rio de Janeiro / PUC-RJ
Master of Business Administration (MBA), Marketing/Marketing Management, General -
Universidade do Estado do Rio de Janeiro / UERJ
Bacharel em Estatística, Estatística -
Wizard
Inglês Avançado, Língua Inglesa