Lincoln T Neves

Data Scientist at Cognitivo.ai
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Contact Information
Location
Miami, Florida, United States, US
Languages
  • Inglês -

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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

  • 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
    SuperDataScience
    Oct, 2019
    - Sep, 2024
  • Introduction to R Course
    DataCamp
    Jan, 2018
    - Sep, 2024
  • R Programming A-Z™: R For Data Science With Real Exercises
    SuperDataScience
    Nov, 2017
    - Sep, 2024
  • Data Mining e Big Data – Conceitos, Técnicas e Aplicações
    PUC-Rio
    Oct, 2013
    - Sep, 2024

Experience

    • Brazil
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Scientist
      • Mar 2021 - Present
    • Brazil
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Data Scientist
      • 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

    • United Kingdom
    • Advertising Services
    • 1 - 100 Employee
    • Control and Information Specialist
      • Aug 2020 - Apr 2021

    • Marketing Specialist
      • 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.

    • Senior Marketing Analyst
      • 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.

    • Statistician
      • 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.

    • United States
    • 1 - 100 Employee
    • Senior Marketing Analyst
      • 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.

    • Brazil
    • Newspaper Publishing
    • 1 - 100 Employee
    • Database Marketing Coordinator
      • 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

    • Junior Data Analyst
      • 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.

    • New Zealand
    • Insurance
    • 1 - 100 Employee
    • Junior Information Analyst
      • 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.

Education

  • MBA USP/Esalq
    MBA in Data Science and Analytics, Data Science and Analytics
    2021 - 2022
  • Pontifícia Universidade Católica do Rio de Janeiro / PUC-RJ
    Master of Business Administration (MBA), Marketing/Marketing Management, General
    2012 - 2013
  • Universidade do Estado do Rio de Janeiro / UERJ
    Bacharel em Estatística, Estatística
    2005 - 2011
  • Wizard
    Inglês Avançado, Língua Inglesa
    2005 - 2010

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