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update experience
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Marcos001 committed Mar 24, 2024
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Expand Up @@ -95,8 +95,15 @@ <h1 class="mb-0">Marcos
Ph.D. student in computer science at Federal University of Bahia (of portuguese, Universidade Federal da Bahia (UFBA)), in Brazil.
I received in 2020, my M.Sc. degree in computer science at the UFBA.
Graduated in Bachelor of Information Systems from the Federal University of Piauí in 2017.
He has experience in Computer Science, with emphasis on Image Processing, Time Series, Machine Learning and Deep Learning, Computer Aided Detection Systems and Fuzzy Logic.
He has experience in Computer Science, with emphasis on Image Processing, Time Series, Machine Learning and Deep Learning,
Computer Aided Detection Systems and Fuzzy Logic.
With a solid academic background, Marcos has stood out for his innovative research, reflected in publications in high-impact journals
and conferences in the field of computer science. Additionally, his collaborative experience with industry,
accumulated over more than 4 years, has been a valuable source of learning and practical application.
</p>

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<div class="social-icons">

<a href="https://www.linkedin.com/in/marcos-vinícius-a56622150" target="_blank">
Expand Down Expand Up @@ -189,6 +196,100 @@ <h3 class="mb-0">FEDERAL UNIVERSITY OF PIAUI</h3>
<div class="my-auto">
<h2 class="mb-5">Experience</h2>


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<div class="resume-item d-flex flex-column flex-md-row mb-5">
<div class="resume-content mr-auto">
<h3 class="mb-0">Data Science</h3>
<div class="subheading mb-3">
Estimating Origin and Destination in Public Transportation
</div>
<ul class="fa-ul mb-0">

<li>
<i class="fa-li fa fa-angle-right"></i>
Worked on training machine learning models for preprocessing and filtering of images.
</li>

<li>
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Worked on developing an ensemble model for facial detection. The ensemble model created is more robust and accurate in
detecting faces under different adverse conditions, as it is applied in a real environment, on photos captured inside buses, with
varying lighting conditions, pose, occlusion, etc.
</li>

<li>
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Worked on developing and fine-tuning models for facial recognition task.
</li>

<li>
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Analyzed the racial bias present in some facial detection models, aiming to ensure that the implemented ensemble model is
unbiased and addresses ethical concerns.
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<li>
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Worked on creating an API for deploying the developed models.
</li>

<li>
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Conducted state-of-the-art research and published articles related to the developed application.
</li>

</ul>
</div>
<div class="resume-date text-md-right">
<span class="text-primary">2019 - 2021</span>
</div>
</div>





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<div class="resume-item d-flex flex-column flex-md-row mb-5">
<div class="resume-content mr-auto">
<h3 class="mb-0">Machine Learning Engineer</h3>
<div class="subheading mb-3">
Fraud detection in public transportation
</div>
<ul class="fa-ul mb-0">

<li>
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Data Analysis and Modeling of Different Public Transportation Databases.
</li>

<li>
<i class="fa-li fa fa-angle-right"></i>
Development of a data mining software that estimates boarding and alighting information of passengers in public transportation.
The software, given the boarding and alighting information, calculates several indices to assist in the planning and management
of public transportation.
</li>

<li>
<i class="fa-li fa fa-angle-right"></i>
Validation, analysis, and reporting of processed data.
</li>

<li>
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Literature review and writing scientific articles on the obtained results.
</li>

</ul>
</div>
<div class="resume-date text-md-right">
<span class="text-primary">2022 - Current</span>
</div>
</div>

<!-- iniciação científica -->

<div class="resume-item d-flex flex-column flex-md-row mb-5">
Expand Down Expand Up @@ -234,7 +335,7 @@ <h3 class="mb-0">JUNIOR DEVELOPER IOS</h3>
</p>
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<div class="resume-date text-md-right">
<span class="text-primary">November 2016</span>
<span class="text-primary">November 2015 - November 2016</span>
</div>
</div>

Expand Down Expand Up @@ -340,6 +441,11 @@ <h2 class="mb-5">Skills</h2>
Segmentation and / or clustering of data
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<li>
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Data Visualization (matplotlib, seaborn, plotly, ggplot)
</li>

</ul>
</div>
</section>
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