Wesley Lacerda

Education

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  Senac Brasil

  2022 - 2022

  Curso Compensation and Benefits

  • Map the market and document salary policies • Evaluate, classify, and create a salary structure for job positions • Mediate the interests and needs of employers and employees • Optimize results within the context of a competitive economy • Gather information by selecting and analyzing business documents • Structure compensation policies aligned with the company’s strategies • Ensure organized records that effectively reflect the organization’s context • Implement… Show more • Map the market and document salary policies • Evaluate, classify, and create a salary structure for job positions • Mediate the interests and needs of employers and employees • Optimize results within the context of a competitive economy • Gather information by selecting and analyzing business documents • Structure compensation policies aligned with the company’s strategies • Ensure organized records that effectively reflect the organization’s context • Implement adjustments to positions, salaries, and benefits based on market practice surveys • Describe existing positions in the organization through questionnaires, interviews, and direct observation of professional activities Show less

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  Harvard University

  2025 - 2025

  CS50's Introduction to Programming with Python Programming with Python

  Introduction to Programming with Python, including nine problem sets and one final project.• Functions & Variables: The foundation of structuring code and storing values.• Conditionals: Enabled decision-making in programs.• Loops: Essential for iteration and automation.• Exceptions & Error Handling: Prevent crashes and manage unexpected scenarios.• Testing: Ensured code reliability and future-proofing against bugs.• File I/O: Allowed reading/writing data to files… Show more Introduction to Programming with Python, including nine problem sets and one final project.• Functions & Variables: The foundation of structuring code and storing values.• Conditionals: Enabled decision-making in programs.• Loops: Essential for iteration and automation.• Exceptions & Error Handling: Prevent crashes and manage unexpected scenarios.• Testing: Ensured code reliability and future-proofing against bugs.• File I/O: Allowed reading/writing data to files, including CSVs and images.• Regular Expressions: Helped extract, validate, and manipulate text efficiently.• Libraries & Modules: Encouraged code reuse and modular programming.• Object-Oriented Programming (OOP): Introduced encapsulation and real-world modeling.• List & Dictionary Comprehensions: Provided more concise ways to manipulate data.• Additional Python Features: Expanded problem-solving capabilities beyond the basics. Show less

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  Impacta Tecnologia

  2012 - 2012

  Advanced Excel

  Advanced Formulas and Functions: Use of array, logical, lookup, and reference functions, as well as linking between spreadsheets.Pivot Tables: Creation, customization, and analysis of pivot tables and charts for strategic management.Automation and Macros: Automation of repetitive processes and development of interactive spreadsheets.Data Import and Processing: Integration of data from external systems and use of Power Query for advanced transformations.Data Analysis: Efficient… Show more Advanced Formulas and Functions: Use of array, logical, lookup, and reference functions, as well as linking between spreadsheets.Pivot Tables: Creation, customization, and analysis of pivot tables and charts for strategic management.Automation and Macros: Automation of repetitive processes and development of interactive spreadsheets.Data Import and Processing: Integration of data from external systems and use of Power Query for advanced transformations.Data Analysis: Efficient structuring of information for more accurate and strategic decision-making. Show less

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  Centro Universitário Ítalo Brasileiro

  2013 - 2017

  Administração Administração de Empresas
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  EBAC - Escola Britânica de Artes Criativas e Tecnologia

  2025 - 2025

  Cientista de Dados

  Foundations of Data Science and Machine Learning • Introduction to Data Science and Machine Learning • Initial algorithms and building predictive modelsPython for Data Analysis • Functional and object-oriented programming • Data manipulation and exploratory analysisStatistics and Data Visualization • Descriptive and inferential statistics • Storytelling and data visualization with tools like Git, Looker Studio, and Power BIData Preparation and… Show more Foundations of Data Science and Machine Learning • Introduction to Data Science and Machine Learning • Initial algorithms and building predictive modelsPython for Data Analysis • Functional and object-oriented programming • Data manipulation and exploratory analysisStatistics and Data Visualization • Descriptive and inferential statistics • Storytelling and data visualization with tools like Git, Looker Studio, and Power BIData Preparation and Analysis • Exploratory analysis, preprocessing, and data balancingBasic and Advanced Machine Learning Models • Linear and logistic regression, decision trees, and K-means • Advanced methods such as Random Forest, XGBoost, and PCASQL for Data Science • Basic and advanced queries • Database integration for strategic insightsPractical Projects • Financial fraud prevention, customer segmentation, dashboard creation, and intelligent systems for predictive analysis Show less