My name is Carlos Dip. I'm a computer engineer, currently employed at Digiage as a Mid-Level Data Scientist.
I have a lot of experience working with Azure and Databricks, and have participated in several projects involving Data Engineering and Data Science. Some of the project's topics include Generative AI, Computer Vision, and different forms of Data Analysis/Visualisation for Business Applications.
I'm quite familiar with lots of programming languages, and have implemented many projects from scratch, many of which you can see here in Github.
My main language is Python, often in Jupyter Notebook environments, however I'm familiar with SQL, JavaScript/CSS/HTML, Java, C, VHDL, and a few others. I have used many famous frameworks in the past for applied projects, such as MySQL, Django, NodeJS+React, MongoDB, FastAPI, and some others.
I have worked with many Machine Learning projects, such as Naive Bayes sentiment classification, Random Forest iamge classifiers, and Convolutional Neural Networks for image processing (alongside other traditional computer vision algorithms)
I have also worked with Cloud infrastructure deployment (both manually and developed fully automated boto3 python scripts) on AWS.
I'm fluent in both english and portuguese, and have beginner level spanish.
If you'd like to reach out to me about anything, you can email me with the button bellow, or at [email protected] or [email protected]. I'm also on LinkedIn.
Last updated 24/04/2024
These github stats cards were provided by Anurag Hazra, and is available at his repository github-readme-stats
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