Machine Learning Engineer Data Scientist
About me
Hi! My name is João Gabriel de Souza Pinto, and I'm currently working in Data Science and ML. The area I'm most passionate about is developing a good flow of MLops and performing deploys, which I have been delving deeper into since last year. My plan is to keep studying to become a better professional in this job that I love. In addition, I’m also interested in learning more about natural language processing and computer vision.
Feel free to check about me and my projects!
Results-driven professional,with experience in meeting high demands and achieving great results in projects... Extremely communicative
These are my skill levels with the most popular technologies on the market today:
These are the main experience gain points and titles I've earned during my journey to date...
October, 2023 - Present
References:
NLP Researcher: Andrey Rodrigues de Freitas - Linkedin:https://www.linkedin.com/in/andreyfreitas/
NLP Researcher: Anderson Carlos - Linkedin:https://www.linkedin.com/in/andcarlos/
Utilizing the Vertex-AI platform, I have conducted training sessions employing techniques such as Lora, qLora, and Full, aimed at developing a model capable of generating clinical texts. My expertise encompasses proficiency in training models, using a spectrum from single A100 GPU utilization to harnessing parallelism across multiple GPUs. Additionally, I have actively participated in the complete model inference pipeline, ensuring a smooth transition from training to deployment.
September, 2022 - Present
References:
Data Enginner SEO: Gabriel Machado - Linkedin:https://www.linkedin.com/in/gabriel-ant-machado/
SEO Coordinator: Fernanda Aparecida - Linkedin: https://www.linkedin.com/in/fernanda-aparecida-s/
Feb 2019 - Apr 2022
References:
Industrial Manager: Rogério Belline - Linkedin: https://www.linkedin.com/in/rog%C3%A9rio-wohnrath-bellini-9433843b/
Process Supervisor: Anderson Ides - Linkedin: https://www.linkedin.com/in/anderson-ides-49a0a34b/
In close cooperation with the Brewer and Industrial Manager, I assumed various roles of responsibility within the industry, such as planning and supervising the production lines.
June,2023
Performing deploys in different frameworks and tools for local or cloud consumption, such as AWS, GCP, Azure, TensorFlow, MLFlow, KubeFlow, Streamlit, Flask, Spark MLLib and Scikit-Learn.
July,2022
The greater the number of tools we master, the greater our ability to solve different types of problems, isn't it? So why not learn to work with Data Science with one of the biggest and most powerful programming languages in the world. Well, that's what I decided to do.
September 4, 2022
A course that introduces the basics of statistics and the uses.
October, 2022
I learned how to develop modular, documented, clean and efficient code, how to perform software tests, review, code versioning and how to generate and analyze logs through application debugging.
December, 2021
I understood how big data is impacting the modern world and how the data era is progressing more and more with new data and information... In the course, approaches and uses of big data and Apache Spark.
July, 2022
I further reinforced the concepts learned in my previous big data course and learned new techniques and knowledge about data lake and data warehouse for data storage.
After an arduous 3.0 years, I achieved a bachelor's degree in Big Data and Analytical Intelligence from the Pontifical Catholic University of Paraná (PUCPR).
Now that you know a little about me, I would like to present some of the projects I have worked on. Please feel free to analyze them, and if you have any questions, suggestions, or just want to chat about any of them, don't hesitate to contact me!
These are some jobs where I can use my skills to generate efficient and effective solutions to problems you may face.
Apply different statistical techniques to describe, organize and summarize your dataset.
advanced analytics based on drill-downs, data discovery, data mining and correlations to examine your data and answer the question, "Why did this happen?"
Build predictive models to analyze historical and current facts to make predictions about future or unknown events and put this into production for consumption
Use the best stock strategy you can take based on available data.
Create responsive and interactive charts with great designs to summarize your data and visualize the Big Picture.