João Pedro Da Cunha

João Pedro Da Cunha Email and Phone Number

Cientista de Dados | Engenheiro de Machine Learning @ Secretaria Estadual de Saúde de Pernambuco
Federal District, Brazil
João Pedro Da Cunha's Location
Federal District, Brazil, Brazil
João Pedro Da Cunha's Contact Details

João Pedro Da Cunha personal email

About João Pedro Da Cunha

As a Data Scientist with a solid track record spanning over three years, I have specialized in Natural Language Processing (NLP). Currently, I dedicate myself to creating, optimizing, and maintaining advanced Machine Learning models, in addition to managing and processing large volumes of data using solutions such as Google Cloud and BigQuery.During my Computer Engineering degree, I was deeply captivated by the vast potential of these fields. I hold a Bachelor's degree specialized in Data Science and AI Engineering, which was complemented by advanced training programs in Machine Learning, focusing on its real-world applications across diverse industries.Staying updated with the latest trends and technological innovations in my field is a commitment I take seriously. I'm putting my skills into practice at Fácil Spaider, a legal tech firm focusing on NLP solutions for the legal industry. Simultaneously, I'm involved in research at Ford Motors, working on groundbreaking projects related to electric vehicles."The only way to do great work is to love what you do." - Steve Jobs.Contact email: joaopedrocdias@hotmail.comGitHub: https://github.com/jpcunhadias

João Pedro Da Cunha's Current Company Details
Secretaria Estadual de Saúde de Pernambuco

Secretaria Estadual De Saúde De Pernambuco

View
Cientista de Dados | Engenheiro de Machine Learning
Federal District, Brazil
Website:
saude.pe.gov.br
Employees:
535
João Pedro Da Cunha Work Experience Details
  • Secretaria Estadual De Saúde De Pernambuco
    Cientista De Dados | Engenheiro De Machine Learning
    Secretaria Estadual De Saúde De Pernambuco
    Federal District, Brazil
    View
  • Fácil Espaider
    Data Scientist
    Fácil Espaider May 2023 - Present
    • Developing software in C# to integrate and support advanced models.• Harnessing Tensorflow and PyTorch for state-of-the-art machine learning modeldevelopment.• Maintaining and transitioning models from Jupyter notebooks to structured Pythonprojects.• Optimizing and restructuring Python code for enhanced organization and efficiency.• Documenting methodologies, adhering to modern software development bestpractices.• Implementing end-to-end model pipelines with a special emphasis on NLP. Thisincludes leveraging Hugging Face's Transformers library for models like BART andRoberta.
    View
  • Ford Motor Company
    Data Scientist
    Ford Motor Company May 2023 - Apr 2024
    • Engineering solutions for electric vehicles using connected data and deep learning.• Designing applications in JavaScript to showcase machine learning outcomes.• Deploying time-series-focused machine learning models with Python.• Delivering weekly project status updates to senior leadership in English.• Creating insightful dashboards using Qlik Sense for effective data visualization.• Leading training sessions, bolstering team proficiency in Python and C++.• Integrating data transformation pipelines leveraging Google Cloud Platform (GCP), Alteryx, and Terraform.
    View
  • Vlgi Investimentos
    Data Scientist
    Vlgi Investimentos Dec 2022 - May 2023
    Brasília, Distrito Federal, Brasil
    • Developed machine learning models using Python, scikit-learn, numpy, pandas, and matplotlib.• Processed Big Data using Apache Spark • Organized data transformation pipelines to improve data flow efficiency using the Kedro framework. • Managed workflows using Apache Airflow. • Performed queries using SQL on PostgreSQL server. • Monitored code versioning via GitLab. • Used other stacks like Python, R, AWS, and Docker.
    View
  • Iom - Un Migration
    Data Analytics Intern
    Iom - Un Migration May 2022 - Nov 2022
    Brasília, Distrito Federal, Brasil
    • Elaborated Power BI dashboards for project development and analysis of migration flows and statistics in Excel• Participated in weekly presentation meetings for leadership• Conversated in English and Spanish during meetings and events• Created ETL routines with Pentaho• Developed queries using SQL on Azure Cloud server
    View
  • Uniceub - Centro Universitário De Brasília
    Project Management Intern
    Uniceub - Centro Universitário De Brasília Aug 2020 - Jan 2021
    Brasília, Distrito Federal, Brasil
    • Schematized the architecture and modeling of relational databases using MySQL.• Used agile methodologies.
    View

João Pedro Da Cunha Skills

Espanhol Pandas Scikit Learn Etl Git Amazon Web Services Linux Modelagem De Dados Tensorflow Microsoft Sql Server Redes Neurais Pentaho Metodologias Agile Windows Azure Matplotlib Microsoft Office Postgresql Docker Microsoft Excel Seaborn Gitlab Mlops Apache Airflow Numpy Sql Python Modelagem De Banco De Dados Aprendizagem Profunda Machine Learning Ferramentas Etl Mysql Microsoft Power Bi Github

João Pedro Da Cunha Education Details

Frequently Asked Questions about João Pedro Da Cunha

What company does João Pedro Da Cunha work for?

João Pedro Da Cunha works for Secretaria Estadual De Saúde De Pernambuco

What is João Pedro Da Cunha's role at the current company?

João Pedro Da Cunha's current role is Cientista de Dados | Engenheiro de Machine Learning.

What is João Pedro Da Cunha's email address?

João Pedro Da Cunha's email address is jo****@****ail.com

What schools did João Pedro Da Cunha attend?

João Pedro Da Cunha attended Fiap, Uniceub - Centro Universitário De Brasília, Uniceub - Centro Universitário De Brasília.

What skills is João Pedro Da Cunha known for?

João Pedro Da Cunha has skills like Espanhol, Pandas, Scikit Learn, Etl, Git, Amazon Web Services, Linux, Modelagem De Dados, Tensorflow, Microsoft Sql Server, Redes Neurais, Pentaho.

Not the João Pedro Da Cunha you were looking for?

View similar profiles

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.