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João P.
Data Scientist

Javascript
Python
Github
Amazon Aws
Docker Cloud
Sql
Vue.js
Elasticsearch
Bio

Data Scientist with three years of experience specializing in comprehensive data science project pipelines, encompassing data processing, collection, and modeling. Proficient in Python and AWS tools, with ongoing development in GO programming. Engages in sports, cooking, and beach activities during personal time.

  • Data Scientist
    11/1/2020 - Present

    Developed applications leveraging Vue, React, Python, and Django, with a strong emphasis on PostgreSQL for robust data management. Built and maintained APIs using FastAPI paired with AWS Lambda within a Serverless framework. Managed and configured ElasticSearch and Kibana environments for optimal performance. Specialized in document classification and information extraction from textual data. Gained extensive experience with the AWS ecosystem, including EC2, Lambda, S3, SQS, and CloudFormation. Led ETL projects using AWS and DVC, ensuring smooth data workflows. Utilized Typer for building efficient CLI applications, enhancing automation and user interaction.

  • Data Scientist
    3/1/2020 - 11/1/2020

    Developed proficiency in orchestrating ETL workflows using Apache Airflow. Designed and implemented machine learning models for text classification, focusing on judicial data. Demonstrated expertise in managing data pipelines efficiently and executing advanced machine learning techniques to classify text data accurately.

  • Data Scientist
    6/2/2019 - Present

    Specialized in data acquisition, manipulation, and cleaning while employing a range of technical tools and techniques. Developed advanced proficiency in Python and R for data manipulation and analysis, utilizing libraries such as Pandas, NumPy, and Dplyr. Mastered SQL for database querying and management, and demonstrated significant expertise in extracting, transforming, and loading (ETL) processes. Gained extensive experience in data integration from various sources including APIs, web scraping, and local files. Utilized data cleaning tools and techniques, including handling missing values, outliers, and duplicates, to ensure data integrity and accuracy. Proficient in leveraging automation scripts to streamline repetitive tasks and enhance workflow efficiency. Implemented data validation protocols to uphold high-quality data standards, contributing to reliable and actionable datasets.

  • System Analyst Focus on Artificial Intelligence
    1/2/2017 - 2/2/2018

    Demonstrated advanced proficiency in maintaining and enhancing chatbot tools, leveraging frameworks and technologies such as Python, TensorFlow, and Rasa. Facilitated the integration with messaging platforms including Slack, Facebook Messenger, and Microsoft Teams. Worked extensively with natural language processing tools like spaCy and NLTK to enhance chatbot understanding and interaction. Optimized performance and scalability through the application of cloud services such as AWS and Google Cloud Platform. Employed Agile methodologies and utilized version control systems like Git for collaborative development and continuous deployment. Implemented improvements using user feedback analytics to refine bot responses, ensuring a high level of user engagement and satisfaction. Effectively utilized automated testing frameworks to ensure reliability and performance of the chatbot tools.

  • Computer Science at Federal University of Itajubá
    2014 - 2015

  • Computer Science at São Paulo State University Júlio de Mesquita Filho
    2015 - 2019

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