@tiagopatriciosantos
Bringing technical expertise and a winning attitude to projects, a certified data scientist and software engineer
Highly skilled and experienced software engineer with a strong foundation in computer engineering and deep learning. Proficient in a variety of programming languages including C#, SQL, and Python. Achieved Data Scientist Professional and Data Analyst Associate certifications from DataCamp, as well as a Deep Learning Specialization from DeepLearning.AI. Possesses excellent troubleshooting and problem-resolution skills, a positive and friendly attitude, and a strong work ethic. Fluent in Portuguese and English. Proven success as a team leader, project manager, and software developer, with experience in the oil and gas industry and implementing ERP solutions.
I am available for a new Data Scientist/Machine Learning Engineer position. 馃槑
Feb 23, 2023 路 15 min read 路 Part 3 - is all about deployment, where using MLFlow and FastApi we will deploy the model into a WebAPI and serve it with Mogenius, a Virtual DevOps platform. Problem statement: My friend is on the job market. However, they keep wasting time applyin...
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Feb 23, 2023 路 19 min read 路 Part 2 - is about the setup of DagsHub, DVC, and MLFlow to create a version-controlled data science project, as well as tracking experiment parameters and metrics, and comparing experiments. Problem statement: My friend is on the job market. However...
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Feb 23, 2023 路 42 min read 路 Part 1 - is all about getting to know the Dataset using Exploratory analysis, cleaning data, choosing the metrics, and doing the first model prediction experiments. Problem statement: My friend is in the job market. However, they keep wasting time a...
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Feb 22, 2023 路 5 min read 路 This story was created using this notebook. Introduction As a data scientist, you want to share your work with others and reach a larger audience. Medium is a popular platform for this purpose, but it has limitations when it comes to data representat...
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Feb 7, 2023 路 1 min read 路 Generated by jupyter2hashnode using a Jupyter Notebook Example notebook #codepython import pandas as pd import matplotlib.pyplot as plt #codepython data = { 'fruits' : ['apple', 'blueberry', 'cherry', 'orange'], 'counts' : [40, 100, 30, 55],...
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