Felipe Lana Machado

Machine Learning Engineer at Spectral

Felipe Lana Machado has a diverse work experience in the field of data science and machine learning. Felipe started their career as an intern at IPM Sistemas, where they developed web portals and worked with SQL queries. Felipe then worked as a scholarship holder at Universidade do Estado de Santa Catarina, where they developed software for flood visualization using technologies such as Java, JSF, Hibernate, SQL, and ArcGIS.

In 2020, Felipe worked as a Freelance Data Scientist, where they were responsible for developing BI projects, identifying KPIs, and implementing measurement and monitoring systems using Excel, PowerBI, and Data Studio. Felipe also worked on a project for a law firm, using AI to classify text documents.

In the same year, Felipe joined AI ROBOTS as a Data Scientist, where they developed the entire data science pipeline, including cleaning and exploring data, creating and engineering resources, and solving real business problems. Felipe also developed a model for preventing failure of industrial robots using state-of-the-art algorithms and Microsoft Azure infrastructure.

In 2021, Felipe worked at Numera - People Analytics as a Data Analyst, where they supported the development of approaches to solve customer business problems and managed projects with team development in technical skills.

Following that, Felipe joined Olist as a Data Scientist in 2021, where they helped the company find detractor products using risk management techniques and defined homogeneous groups for establishing dynamic cutoff points.

In 2022, Felipe worked as a Data Scientist at Illuvium.io, a decentralized autonomous organization. Felipe worked with international teams, created data analysis to understand the business, and contributed to the company's success.

Currently, Felipe is employed as a Machine Learning Engineer at Spectral - We're Hiring.

Felipe Lana Machado's education history is as follows:

In 2011, Felipe Lana Machado started studying at UFOP - Universidade Federal de Ouro Preto, where they pursued a Bachelor's degree in Production Engineering, which they completed in 2015.

In 2016, Felipe Lana Machado enrolled in Universidade do Estado de Santa Catarina and earned a Bachelor's degree in Software Engineering from there in 2019.

During their time at Universidade do Estado de Santa Catarina, in 2018, Felipe Lana Machado also completed a Machine Learning Engineer program from Udacity, focusing on Artificial Intelligence.

In 2017, Felipe Lana Machado furthered their knowledge in Data Science by completing the Data Science Fundamentals course offered by Udacity.

In 2022, Felipe Lana Machado pursued a Machine Learning DevOps (MLOps) program from Udacity, specializing in Artificial Intelligence.

Additionally, Felipe Lana Machado has obtained several certifications. These include certifications in Spark Training with Pyspark: The Complete Course, Complete Introduction to AWS Quicksight, Agile in Practice: Applied Techniques for Agile Management, Digital Mindset: Techniques and Skills for Remote Leadership, First Leadership: Learning about the Mission and Purpose of Leading People, Habits in Leadership: Good Practices, Leadership: Management Practices and Improvements, Linear Regression: Advanced Modeling Techniques, MLFlow: Lifecycle Management of ML Models, Task Delegation: Get the Best Out of Your Team, and Teamwork Principles: Collaborative Relations. Felipe also completed a Statistics course offered by the Comunidade de Estatística do Prof. Thiago Marques.

Moreover, Felipe Lana Machado completed certifications in Data Engineer Training: Master Big Data!, Data Science from Zero, Complete Guide to TensorFlow for Deep Learning with Python, Python 3: Algoritmos e Estruturas de Dados, TensorFlow: Machine Learning e Deep Learning com Python, Nanodegree Engenheiro de Machine Learning, (Golang): Explorando a Linguagem do Google, and Desenvolvedor Multiplataforma Android/IOS com React e Redux.

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Timeline

  • Machine Learning Engineer

    November, 2022 - present