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<!DOCTYPE html>
<html lang="en-us" class="no-js">
<head>
<meta charset="UTF-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>Rodrigo Marques</title>
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1" />
<meta name="description" content="Curriculum vitae Rodrigo Sousa Marques" />
<meta name="keywords" content="curriculo, vitae, geek, university, git, github" />
<link rel="shortcut icon" href="favicon.ico">
<link rel="stylesheet" href="css/bootstrap.min.css" type="text/css">
<link rel="stylesheet" href="css/normalize.css" type="text/css">
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<script src="js/jquery-2.1.3.min.js"></script>
<script src="js/modernizr.custom.js"></script>
</head>
<body class="material-template">
<!-- Loading animation -->
<div class="preloader">
<div class="preloader-animation">
<div class="preloader-spinner">
</div>
</div>
</div>
<!-- /Loading animation -->
<div id="page" class="page">
<!-- Header -->
<header id="site_header" class="header mobile-menu-hide">
<div class="header-content">
<div class="site-title-block mobile-hidden">
<a href="index.html#home"><div class="site-title">Rodrigo <span>Marques</span></div></a>
</div>
<!-- Navigation -->
<div class="site-nav">
<!-- Main menu -->
<ul id="nav" class="site-main-menu">
<li>
<a class="pt-trigger" href="index.html#home">Home</a>
</li>
<li>
<a class="pt-trigger" href="index.html#resume">Curriculum</a>
</li>
<li>
<a class="pt-trigger" href="index.html#services">Services</a>
</li>
<li>
<a class="pt-trigger" href="index.html#portfolio">Projects</a>
</li>
<li>
<a class="pt-trigger" href="index.html#moocs">Certifications</a>
</li>
</ul>
<!-- /Main menu -->
</div>
<!-- Navigation -->
</div>
</header>
<!-- /Header -->
<!-- Mobile Header -->
<div class="mobile-header mobile-visible">
<div class="mobile-logo-container">
<div class="mobile-site-title">Rodrigo Marques</div>
</div>
<a class="menu-toggle mobile-visible">
<i class="fa fa-bars"></i>
</a>
</div>
<!-- /Mobile Header -->
<!-- Main Content -->
<div id="main" class="site-main">
<!-- Page changer wrapper -->
<div class="pt-wrapper">
<!-- Subpages -->
<div class="subpages">
<!-- Home Subpage -->
<section class="pt-page" data-id="home">
<div class="section-inner start-page-content">
<div class="page-header">
<div class="row">
<div class="col-sm-4 col-md-4 col-lg-4">
<div class="photo">
<img src="images/profile_pic.jpeg" alt="Rodrigo Marques">
</div>
</div>
<div class="col-sm-8 col-md-8 col-lg-8">
<div class="title-block">
<h1>Rodrigo Marques</h1>
<div class="owl-carousel text-rotation">
<div class="item">
<div class="sp-subtitle">Data Scientist</div>
</div>
<div class="item">
<div class="sp-subtitle">Data Engineer</div>
</div>
<div class="item">
<div class="sp-subtitle">Business Intelligence Developer</div>
</div>
<div class="item">
<div class="sp-subtitle">Data Intelligence</div>
</div>
</div>
</div>
<div class="social-links">
<a href="https://www.linkedin.com/in/rmarques0/"><i class="fa fa-linkedin"></i></a>
<a href="https://github.com/rmarques0"><i class="fa fa-github"></i></a>
<a href="mailto:[email protected]" target="_blank"><i class="fa fa-envelope-square"></i></a>
<a href="https://wa.me/5491178976313"><i class="fa fa-whatsapp"></i></a>
</div>
</div>
</div>
</div>
<div class="page-content">
<div class="row">
<div class="col-sm-7 col-md-7 col-lg-7">
<div class="about-me">
<div class="block-title">
<h3>Who <span>am I?</span></h3>
</div>
<p>
I am an accomplished Data Scientist and Data Engineer with a passion for delivering valuable insights through
analytical functions and data retrieval methods. I am currently pursuing a Masters degree in Data Science, Data
Mining and Knowledge Discovery. My ultimate goal is to help companies advance by developing strategic plans
based on predictive modeling and findings.<br><br>
I bring a proven track record of analyzing complex data sets and serving as a strong advisor. I am curious by
nature and always excited to tackle "unsolvable problems" with an out-of-the-box thinking approach. My love for
learning and adapting keeps me evolving in the field of Data Science.<br><br>
My skills include Data Science, Data Engineering, Business Intelligence, Data Analytics, AWS, Power BI, SQL,
Python, DAX, Machine Learning, ETL, Snowflake, DBT, GIT, among others. Fluent in English and Portuguese,
and conversational in Spanish and French. I am also a team player and possess strong communication and
problem-solving skills. I am motivated to make a positive impact in the world through the power of data and
technology
</p>
</div>
</div>
<div class="col-sm-5 col-md-2 col-lg-5">
<ul class="info-list">
<li><span class="title"> </span><span class="value"> </span></li>
<li><span class="title">E-mail</span><span class="value"> <a href="mailto:[email protected]">[email protected]</a></span></li>
<li><span class="title">Phone</span><span class="value">+54 9 11 7897.6313</span></li>
<li><span class="title">Location</span><span class="value"> Buenos Aires, Argentina </span></li>
<!-- <li><span class="title">Contract</span><span class="value available">Available</span></li> -->
<li><span class="title"> </span><span class="value"> </span></li>
<div class="download-resume">
<a href="cv/CV_RodrigoSMarques.pdf" class="btn btn-secondary" target="_blank">Download Resume</a>
</div>
</ul>
</div>
</div>
</div>
</div>
</section>
<!-- End of Home Subpage -->
<!-- Resume Subpage -->
<section class="pt-page" data-id="resume">
<div class="section-inner custom-page-content">
<div class="page-header color-1">
<h2>Curriculum Vitae</h2>
</div>
<div class="page-content">
<div class="row">
</div>
<div class="col-sm-6 col-md-6 col-lg-4">
<div class="block">
<div class="block-title">
<h3>Coding<span> & </span>Technologies</h3>
</div>
<div class="skills-info">
<h4>Python</h4>
<div class="skill-container">
<div class="skill-percentage skill-3"></div>
</div>
<h4>SQL</h4>
<div class="skill-container">
<div class="skill-percentage skill-2"></div>
</div>
<h4>DAX</h4>
<div class="skill-container">
<div class="skill-percentage skill-3"></div>
</div>
<h4>Power BI</h4>
<div class="skill-container">
<div class="skill-percentage skill-1"></div>
</div>
<h4>GIT</h4>
<div class="skill-container">
<div class="skill-percentage skill-3"></div>
</div>
<h4>AWS</h4>
<div class="skill-container">
<div class="skill-percentage skill-4"></div>
</div>
<!-- <h4>Test</h4>
<div class="skill-container">
<div class="skill-percentage skill-3"></div>
</div> -->
</div>
</div>
</div>
<div class="col-sm-6 col-md-6 col-lg-4">
<div class="block">
<div class="block-title">
<h3> <br> </h3>
</div>
<div class="skills-info">
<h4>SSMS, SSAS, SSRS</h4>
<div class="skill-container">
<div class="skill-percentage skill-4"></div>
</div>
<h4>Oracle</h4>
<div class="skill-container">
<div class="skill-percentage skill-4"></div>
</div>
<h4>Snowflake</h4>
<div class="skill-container">
<div class="skill-percentage skill-3"></div>
</div>
<h4>DBT</h4>
<div class="skill-container">
<div class="skill-percentage skill-4"></div>
</div>
<h4>Gsuite</h4>
<div class="skill-container">
<div class="skill-percentage skill-1"></div>
</div>
<h4>Lean Six Sigma</h4>
<div class="skill-container">
<div class="skill-percentage skill-3"></div>
</div>
</div>
</div>
</div>
<div class="col-sm-8 col-md-4 col-lg-4">
<div class="block">
<div class="block-title">
<h3>Languages <span></span></h3>
</div>
<div class="skills-info">
<h4>English</h4>
<div class="skill-container">
<div class="skill-percentage skill-1"></div>
</div>
<h4>Portuguese</h4>
<div class="skill-container">
<div class="skill-percentage skill-1"></div>
</div>
<h4>Spanish</h4>
<div class="skill-container">
<div class="skill-percentage skill-8"></div>
</div>
<h4>French</h4>
<div class="skill-container">
<div class="skill-percentage skill-8"></div>
</div>
</div>
</div>
</div>
<div class="row">
<div class="col-sm-12 col-md-12 col-lg-12">
<div class="block">
<div class="block-title">
<h3>Professional Experience</h3>
</div>
<div class="timeline">
<!-- Experience wDiscovery -->
<!-- Experience 1 -->
<div class="timeline-item">
<h4 class="item-title">Data Scientist</h4>
<span class="item-period">Aug 2021 - Current</span>
<span class="item-small"><a href="https://www.pistildata.com/" target="_blank">Pistil Data</a> - San Francisco, CA, USA</span>
<p class="item-description">Pistil is at the forefront of the cannabis industry, providing cutting-edge market intelligence technology to
sales teams of all sizes.<br>
Responsibilities:<br>
* Develop and maintain high-quality code for data science projects.<br>
* Support the customer support and business teams with technical expertise.<br>
* Meet deadlines and deliver high-quality deliverables.<br>
* Collaborate with cross-functional teams to integrate and productionize data science deliverables.<br>
* Ensure scalability and performance of data science solutions in a cloud-based environment.<br><br>
Tools and Technologies:<br>
SQL, Python, Pandas, Scikit Learn, Scipy, Seaborn, SQLAlchemy, df2gspread, Plotly, Matplotlib, Git,
Azure data studio, GSuite, Hubspot.<br><br>
Contributions:<br>
* Implemented advanced data analysis techniques, resulting in improved platform performance.<br>
* Developed new features to meet the evolving needs of customers, resulting in increased user
engagement and satisfaction.<br>
* Streamlined the data science workflow by implementing automation and improving efficiency.<br>
* Provided valuable insights and analysis to the business team, contributing to an increase in sales and
revenue.
<br>
</p>
</div>
<!-- / Experience 1 -->
<div class="timeline-item">
<h4 class="item-title">Data Engineer</h4>
<span class="item-period">Feb 2022 - Current</span>
<span class="item-small"><a href="https://www.cloudx.com/" target="_blank">Cloud(x)</a> - Buenos Aires, Argentina</span>
<p class="item-description">
Cloud(x) is a leading software development firm, building AI and cloud solutions at the forefront of
modern technology.<br>
Worked as a consultant at <a href="https://symend.com/" target="_blank">Symend</a> (Canada), a company that generates deep customer insights using a
trifecta of behavioral science, data science, and advanced analytics to empower customers to resolve
past due bills before they reach collections.<br><br>
Responsibilities:<br>
* Collaborate with cross-functional teams to ensure data resources meet requirements<br>
* Develop and automate data pipelines using best practices<br>
* Research and implement new technologies to improve data engineering processes<br>
* Work closely with data scientists to support the data science life cycle<br>
* Develop data engineering tools and libraries for testing, QA, and scaling<br>
* Partner with analytics platform team to understand data structures and requirements<br>
* Communicate ideas, requirements and challenges to team lead and product managers<br><br>
Tools and Technologies:<br>
* Python, SQL, Snowflake, DBT, Databricks, Spark, Azure Data Factory, Looker, ADF<br><br>
Contributions:<br>
* Developed data ingest, propagation and transformation code for Symend Canada, improving
performance and user engagement<br>
* Implemented advanced data engineering techniques to improve pipeline performance<br>
* Developed innovative features to meet evolving customer needs<br>
* Streamlined data engineering workflow through automation<br>
* Provided valuable insights and analysis to the business team, resulting in increased sales and
revenue<br>
* Demonstrated strong technical expertise and a proactive approach in collaborating with crossfunctional teams<br>
</p>
</div>
<!-- / Experience 1 -->
<!-- / Experience 1 -->
<div class="timeline-item">
<h4 class="item-title">Data Intelligence Consultant</h4>
<span class="item-period">Nov 2021 - Feb 2022</span>
<span class="item-small"><a href="https://www.wdiscover.com.br/" target="_blank">wDiscover</a> - Curitiba, PR, Brazil</span>
<p class="item-description">
As a Business Intelligence Consultant at wDISCOVER, a company that specializes in creating
innovative solutions using applications and indicators to improve company's control and decision
making, I had the opportunity to work on a project for Ouro Verde which consisted of migrating their
legacy system to AWS.<br><br>
Responsibilities:<br>
* Assisted in the migration of Ouro Verde's legacy system to AWS, utilizing technologies such as
Redshift, EMR, and Athena.<br>
* Collaborated with a team of experts to create innovative solutions using applications and indicators to
improve company's control and decision making.<br>
* Ensured the best use and performance of BI tools such as Qlik, Tableau, and Power BI by working
with a team of trained and certified professionals.<br><br>
AWS technologies used:<br>
* Redshift, EMR, Athena, Batch, Step Functions, Elastic Container Registry, S3, EC2, CloudWatch<br><br>
Contributions:<br>
* Made valuable contributions to the successful migration of Ouro Verde's legacy system to AWS,
resulting in improved scalability and efficiency.<br>
* Implemented innovative solutions that improved company's control and decision making process.<br>
* Worked with a team of experts to ensure the best use and performance of BI tools, resulting in more
effective data analysis and decision making
<br>
</p>
</div>
<!-- / Experience 1 -->
<!-- Experience 2 -->
<div class="timeline-item">
<h4 class="item-title">Data Science & Business Intelligence Analyst</h4>
<span class="item-period">Aug 2020 - Aug 2021</span>
<span class="item-small"><a href="https://www.tokstok.com.br/" target="_blank">TKSolution | Tok&Stok</a> - São Paulo, SP, Brazil</span>
<p class="item-description">As a Data Science & Business Intelligence Analyst at TKSolution, a technology hub for the home decor
and furniture retailer Tok & Stok, I played a vital role in driving intelligence, strategy, innovation, and
valuable solutions through data analysis and visualization.<br><br>
Responsabilities:<br>
* Developed and implemented data-driven solutions to address business challenges and drive
intelligence, strategy, and innovation<br>
* Utilized a combination of ETL, data analysis, and data visualization to produce robust and efficient
outputs for specific briefs or problems<br>
* Created intelligent cubes and managerial reports using technologies such as Power BI and Reporting
Services<br>
* Worked with a variety of data sources including Oracle, Snowflake, APIs, and DBT to perform data
ingestion and manipulation<br>
* Utilized SQL, PL/SQL, Python, DAX, and M to manipulate complex data and answer specific business
needs<br><br>
Tools and Technologies:<br>
Power BI, DBT, SSMS, SSAS, SSRS, Git, Oracle, Snowflake, Gsuite, Jira, Confluence, AWS (Glue, S3,
Database Migration Service, Cloudwatch)<br><br>
Contributions:<br>
* Successfully translated non-data requests into analytical or reporting outputs that answered specific
business questions<br>
* Improved data management and manipulation capabilities through the use of advanced technologies
such as Oracle and Snowflake<br>
* Demonstrated the ability to manage projects in an ambiguous environment and effectively drive
change and overcome obstacles and resistance.<br>
</p>
</div>
<!-- / Experience 2 -->
<!-- Experience 3 -->
<div class="timeline-item">
<h4 class="item-title">Electrical Engineering Intern - Power Load Forecasting</h4>
<span class="item-period">Dec 2018 - Dec 2019</span>
<span class="item-small"><a href="https://www.energisa.com.br/" target="_blank">Energisa</a> - Palmas, TO, Brazil</span>
<p class="item-description">Data & Analytics centered experience as the main responsible to conduct the analysis and forecast for electrical load and power flow for the State of Tocantins.
<br><br>
As results of this jorney:<br>
* Achieved a significant reduction of man-working time needed due to implemented automation and standardization of power load data;<br>
* Improved insights generation and decision making with meaningful visualizations for the behavior of the power grid, in Power BI;<br>
* I carried out dozens of studies to forecast the annual behavior of Tocantins electrical system up to the year 2035.</p>
</div>
<!-- / Experience 3 -->
<!-- Experience 4 -->
<div class="timeline-item">
<h4 class="item-title">Summer Internship in Lean Six Sigma</h4>
<span class="item-period">Jun 2015 - Jul 2015</span>
<span class="item-small">University of Tennessee & Comercial Vehicle Group - Knoxville, TN, USA</span>
<p class="item-description">As an intern for the University of Tennessee Lean Six Sigma program, I had the opportunity to work
with Comercial Vehicle Group Ltda (CVG), a leading manufacturer in the commercial vehicle industry.
During my time at CVG, I was responsible for analyzing the company database and improving process
flow in the testing laboratory. Through my efforts, CVG was able to achieve significant improvements in
efficiency and process management.<br><br>
Responsibilities:<br>
* Analyzed and improving process flow in CVG's testing laboratory<br>
* Identified and mitigating rework and inefficiencies<br>
* Maintained data integrity and standardization in the database<br><br>
Contribution:<br>
* Reduced waiting time by 10.79% in the testing laboratory<br>
* Solved problems with management processes and mitigated rework<br>
* Optimized the micro-tasks of each process, resulting in improved efficiency and productivity.<br>
</p>
</div>
<!-- / Experience 4 -->
</div>
</div>
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<h3>Education</h3>
</div>
<div class="timeline">
<!-- Education 0 -->
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<h4 class="item-title">Master's degree, Data Science - Data Mining & Knowledge Discovery</h4>
<span class="item-period">2022 - 2024</span>
<span class="item-small">Faculdad de Buenos Aires</span>
<p class="item-description">.</p>
</div>
<!-- / Education 0 -->
<!-- Education 1 -->
<div class="timeline-item">
<h4 class="item-title">MBA Business Intelligence</h4>
<span class="item-period">2020 - 2021</span>
<span class="item-small">Faculdade Educamais</span>
<p class="item-description">Strategic Negotiation; Market research; Tools for Decision Making; Corporate Governance; Business Intelligence; Business Analytics; Operations and Process Management; Business Intelligence Projects; Leadership and People Management; Time Management; Storytelling; Economic Scenarios.</p>
</div>
<!-- / Education 1 -->
<!-- Education 2 -->
<div class="timeline-item">
<h4 class="item-title">BS Electrical Engineering</h4>
<span class="item-period">2016 - 2019</span>
<span class="item-small">UniCatólica - TO, Brazil</span>
<p class="item-description">Algorithms and Data Structures, Logic Circuits, Introduction to Material Sciences, Microelectronics I and II, Electrical Circuits I and II, Communication Principles, Solid Mechanics, Linear Signals and Systems, Electromagnetic Theory I and II, Transport Phenomena, Networks of Computers, Power Electronics, Data Communication Systems, Automation, Instrumentation and Control, Energy Conversion, Electromagnetic Waves, Safety Engineering, Analysis of Electrical Power Systems, Protection of Electrical Systems, Electrical Machines, Microprocessors, Power Generation Electricity, Substations, Electricity Transmission and Distribution, Building Electrical Installations, Electricity Quality.</p>
</div>
<!-- / Education 2 -->
<!-- Education 3 -->
<div class="timeline-item">
<h4 class="item-title">Electrical Engineering - Sandwich Undergrad.</h4>
<span class="item-period">2016 - 2019</span>
<span class="item-small">Eastern Washington University - WA, USA</span>
<p class="item-description">Academic exchange program with duration of 18mo at Eastern Washington University, WA, United States.
<br><br>
TECH 452 – Engineering Economics; EENG 209: Circuit Theory I; EENG 330: Microelectronics I; CEB 330 Digital Foundations; EENG 250: Digital Hardware; EENG 160 – Digital circuits; Dpt of Modern Languages and Literatures: French 101</p>
</div>
<!-- / Education 3 -->
</div>
</div>
</div>
</div>
<!-- Download Resume Button -->
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<a href="cv/CV_RodrigoSMarques.pdf" class="btn btn-secondary" target="_blank">Download Resume</a>
</div>
</div>
</div>
</div>
<!-- End of Download Resume Button -->
</div>
</div>
</section>
<!-- End of Resume Subpage -->
<!-- Services Subpage -->
<section class="pt-page" data-id="services">
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<h2>Services</h2>
</div>
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<!-- My Services -->
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<div class="block-title">
<h3>I am <span>good at...</span></h3>
</div>
</div>
<div class="col-sm-6 col-md-3">
<div class="service-block">
<div class="service-info">
<!--<i class="service-icon fa fa-shopping-cart"></i>-->
<div class="service-image">
<img src="images/service/bi.jpg" alt="Responsive Design" class="mCS_img_loaded">
</div>
<h4>Data Science & Analytics</h4>
<p>
DSaaS allows you to embrace data science for your business quickly.
If you don't have data science capabilities in-house or, if you do, but they're over capacity,
I can help you to ramp up your data science and analytics capabilities fast so you can focus on driving business results.</p>
</div>
</div>
</div>
<div class="col-sm-6 col-md-3">
<div class="service-block">
<div class="service-info">
<div class="service-image">
<img src="images/service/web_design_icon.png" alt="Photography" class="mCS_img_loaded">
</div>
<h4>Business Intelligence</h4>
<p> <br>
Either you need to design, develop and deploy enterprise processes and to integrate, support and manage the related technology applications and platforms.
These services include business and infrastructure applications for BI platforms, analytics needs and data warehousing infrastructure.</p>
</div>
</div>
</div>
<div class="col-sm-6 col-md-3">
<div class="service-block">
<div class="service-info">
<div class="service-image">
<img src="images/service/pbi.png" alt="Creativity" class="mCS_img_loaded">
</div>
<h4>Power BI</h4>
<p> I will work collaboratively with end users to develop reporting systems that provide accessible information for decision-making.
I'll use warehouse data to solve organizational problems through reports, analysis and data visualization.</p>
</div>
</div>
</div>
<div class="col-sm-6 col-md-3">
<div class="service-block">
<div class="service-info">
<div class="service-image">
<img src="images/service/data_eng.png" alt="Advetising" class="mCS_img_loaded">
</div>
<h4>Data Engineering</h4>
<p>
Data engineering is the practice designing and building systems for collecting, storing, and analyzing data at scale. Organizations have the ability
to collect massive amounts of data, and they need the right people and technology to ensure the data is in a highly usable state by the time
it reaches the data scientists and analysts.
</p>
</div>
</div>
</div>
</div>
<!-- End of My Services -->
<!-- Clients -->
<div class="row">
<div class="col-sm-12 col-md-12">
<div class="block-title">
<h3><span>Happy </span>Clients</h3>
</div>
<div class="row">
<div class="col-sm-3 col-md-3 subpage-block">
<div class="client-block">
<a href="https://www.pistildata.com/" target="_blank"><img src="images/clients/pistil.jpeg" alt="image" class="mCS_img_loaded"></a>
</div>
</div>
<div class="col-sm-3 col-md-3 subpage-block">
<div class="client-block">
<a href="https://www.cloudx.com/" target="_blank"><img src="images/clients/cloudx.png" alt="image" class="mCS_img_loaded"></a>
</div>
</div>
<div class="col-sm-3 col-md-3 subpage-block">
<div class="client-block">
<a href="https://symend.com/" target="_blank"><img src="images/clients/symend.png" alt="image" class="mCS_img_loaded"></a>
</div>
</div>
<div class="col-sm-3 col-md-3 subpage-block">
<div class="client-block">
<a href="https://www.wdiscover.com.br/" target="_blank"><img src="images/clients/wd.png" alt="image" class="mCS_img_loaded"></a>
</div>
</div>
</div>
<div class="row">
<div class="col-sm-3 col-md-3 subpage-block">
<div class="client-block">
<a href="https://www.ouroverde.net.br/" target="_blank"><img src="images/clients/ov.png" alt="image" class="mCS_img_loaded"></a>
</div>
</div>
<div class="col-sm-3 col-md-3 subpage-block">
<div class="client-block">
<a href="https://www.tokstok.com.br/" target="_blank"><img src="images/clients/tok.png" alt="image" class="mCS_img_loaded"></a>
</div>
</div>
<div class="col-sm-3 col-md-3 subpage-block">
<div class="client-block">
<a href="https://www.energisa.com.br/" target="_blank"><img src="images/clients/energisa.jpg" alt="image" class="mCS_img_loaded"></a>
</div>
</div>
<div class="col-sm-3 col-md-3 subpage-block">
<div class="client-block">
<a href="index.html#" target="_blank"><img src="images/clients/cvg.png" alt="image" class="mCS_img_loaded"></a>
</div>
</div>
</div>
</div>
</div>
<!-- End of Clients -->
<!-- Testimonials -->
<!-- End of Tesimonials -->
</div>
</div>
</section>
<!-- End of Services Subpage -->
<!-- Portfolio Subpage -->
<section class="pt-page" data-id="portfolio">
<div class="section-inner custom-page-content">
<div class="page-header color-1">
<h2>Portfolio</h2>
</div>
<div class="page-content">
<div class="row">
<div class="col-sm-12 col-md-12 col-lg-12">
<div class="block">
<div>
<p>
<br><br>
<h5>Here you can find the summary of my main projects as well as their links for more detailed exploration.</h5>
<br><br>
</p>
</div>
</div>
</div>
</div>
<!-- Portfolio Content -->
<div class="portfolio-content">
<!-- Portfolio filter -->
<ul id="portfolio_filters" class="portfolio-filters">
<li class="active">
<a class="filter btn btn-sm btn-link active" data-group="all">All</a>
</li>
<li>
<a class="filter btn btn-sm btn-link" data-group="ds">Data Science</a>
</li>
<li>
<a class="filter btn btn-sm btn-link" data-group="pbi">Business Intelligence</a>
</li>
<!-- <li>
<a class="filter btn btn-sm btn-link" data-group="2021">2021</a>
</li> -->
</ul>
<!-- End of Portfolio filter -->
<!-- Portfolio Grid -->
<div id="portfolio_grid" class="portfolio-grid portfolio-masonry masonry-grid-2">
<!-- Portfolio Item 1 -->
<figure class=item data-groups='["all", "ds"]'>
<h5 class="name">Happiness</h5>
<a href="https://www.kaggle.com/rmarques0/understanding-world-happiness?scriptVersionId=38893263" title="Understand World Happiness">
<img src="images/portfolio/happiness.png" alt="">
<div>
<small>
Built a deep analysis on which factos more contribute to the perception of happiness around the world.
Modeled and Optimized a model to better estimate the score the Countries would get based on each of the attributes (MAE ~ 0.38).<br><br>
Tacked questions like: <br>
*Is this GDP per capita which makes you happy? <br>
*Is this Perception of Corruption about Goverment, which make you sad? <br>
*Is this Freedom of Life Choises which makes you happy?<br>
</small>
</div>
</a>
</figure>
<!-- /Portfolio Item 1 -->
<!-- Portfolio Item 2 -->
<figure class=item data-groups='["all", "ds"]'>
<h5 class="name">Handwritten Digit Recognition CNN Practice (MNIST Dataset)</h5>
<a href="https://github.com/rmarques0/mnist_digit_recognition" title="Handwritten Digit Recognition">
<img src="images/portfolio/digiti_rec.png" alt="">
<div>
<small>
<!-- The MNIST dataset is a well-known dataset for image classification. Tensorflow and Keras also provide MNIST dataset directly through their APIs. For the learning purpose, the MNIST dataset is easy to use and experiment with different machine learning techniques. -->
<br>
In this notebook, I have covered the necessary steps to approach any Machine Learning Classification Problem.<br>
Included Image Visualization for better understanding.<br>
Quick Links to the functions I have used to explore it in depth.<br>
Basic techniques such as Confusion Matrix, Image Augmentation, etc.<br>
I have also compared the results of Model without using CNN and CNN.<br>
</small>
</div>
</a>
</figure>
<!-- /Portfolio Item 2 -->
<!-- Portfolio Item 3 -->
<figure class=item data-groups='["all", "ds"]'>
<h5 class="name">Time Series Analysis and Forecast of Total Factor Productivity (TFP)</h5>
<a href="https://github.com/rmarques0/tfp_analysis" title="Time Series Analysis and Forecast of Total Factor Productivity (TFP)">
<img src="images/portfolio/tfp.png" alt="">
<div>
<small>
The measure of TFP is based on 39 variables that measure relative levels of income, output, inputs and productivity for 167 countries between 1950 and 2011.
From 90's to 2000's, the TFP showed a global growth trend concentrated in manufacture sactor, and particularly in Information Technology.
Over the long term, TFP growth is limited only by the ability of innovators to develop new technologies, and that a larger population makes possible a larger pool of talent to be devoted to research, and thus opens up more potential for innovation.
</small>
</div>
</a>
</figure>
<!-- /Portfolio Item 3 -->
<!-- Portfolio Item 4 -->
<figure class=item data-groups='["all", "ds"]'>
<h5 class="name">Sentiment Analysis for an Mobile App Reviews</h5>
<a href="https://github.com/rmarques0/sentiment_analysis/blob/master/sentiment_analysis.ipynb" title="Sentiment Analysis for an Mobile App Reviews">
<img src="images/portfolio/sentment.png" alt="">
<div>
<small>
Situation: The client is a financial sector app that aims to achieve greater visibility and retention of users in an organic way.
As this market has grown a lot and is very competitive, he decided to invest in ASO, focusing on his efforts not only in views but also in installations,
that is, not only users will see the App in the store but will also install it and use it for a long period of time. (Retention of 15-30 days).
</small>
</div>
</a>
</figure>
<!-- /Portfolio Item 4 -->
<!-- Portfolio Item 5 -->
<figure class=item data-groups='["all", "ds"]'>
<h5 class="name">Data Science Salary Estimator</h5>
<a href="https://github.com/rmarques0/ds_salary_proj" title="Data Science Salary Estimator">
<img src="images/portfolio/salary.png" alt="">
<div>
<small>
To help data scientists better negotiate their income when they get a job.
<br>
* Created a tool that estimates data science salaries (MAE ~ $ 11K)<br>
* Scraped over 1000 job descriptions from glassdoor using python and selenium.<br>
* Engineered features from the text of each job description to quantify the value companies put on the knoledge about some topics: python, excel, aws, sql and spark.<br>
* Optimized Linear, Lasso, and Random Forest Regressors using GridsearchCV to reach the best model.<br>
* Built a client facing API using flask<br>
</small>
</div>
</a>
</figure>
<!-- /Portfolio Item 5 -->
<!-- Portfolio Item 6 -->
<figure class=item data-groups='["all", "pbi"]'>
<h5 class="name">Business Analysis of a Mobility Company</h5>
<a href="https://github.com/rmarques0/Business-Analysis-99" title="Business Analysis of a Mobility Company">
<img src="images/portfolio/99-2.png" alt="">
<div>
<small>
Discussed the main problems of a mobility company and how to solve them.
<br>
* Net profit/growth<br>
* Cancelled orders<br>
* Total clients<br>
* Profit by customer<br>
* Driver engagement<br>
</small>
</div>
</a>
</figure>
<!-- /Portfolio Item 6 -->
</div>
<!-- /Portfolio Grid -->
</div>
<!-- /Portfolio Content -->
</div>
</div>
</section>
<!-- /Portfolio Subpage -->
<!-- MOOCs Subpage -->
<section class="pt-page" data-id="moocs">
<div class="section-inner custom-page-content">
<div class="page-header color-1">
<h2>Training and Certification</h2>
</div>
<div class="page-content">
<div class="row">
</div>
<div class="row">
<div class="col-sm-12 col-md-12 col-lg-12">
<div class="block">
<div class="block-title">
<h3>Timeline</h3>
</div>
<div class="timeline">
<!-- Training 1 -->
<div class="timeline-item">
<h4 class="item-title">DBT Fundamentals</h4>
<span class="item-period">Mar 2022</span>
<span class="item-small">DBT Labs</span>
<p class="item-description">
<iframe src="certification/dbt.png" width="100%" height="250"></iframe>
<br>
<a href="https://www.credential.net/c41afb0a-7818-4083-ab3e-9b01c547b9fa#gs.tlpo2x"> Credential URL</i></a>
</p>
</div>
<!-- / Training 1 -->
<!-- Training 1 -->
<div class="timeline-item">
<h4 class="item-title">Snowflake - The Complete Masterclass</h4>
<span class="item-period">Feb 2022</span>
<span class="item-small">Udemy</span>
<p class="item-description">
<iframe src="certification/Snowflake.pdf" width="100%" height="250"></iframe>
<br>
<a href="https://udemy-certificate.s3.amazonaws.com/pdf/UC-0bf7d0c3-9d1f-4397-b9ea-9e0b69eb9509.pdf"> Credential URL</i></a>
</p>
</div>
<!-- / Training 1 -->
<!-- Training 1 -->
<div class="timeline-item">
<h4 class="item-title">Unified Data Analytics Essentials</h4>
<span class="item-period">Jun 2021</span>
<span class="item-small">Databricks</span>
<p class="item-description">
<iframe src="certification/Databricks - 1. Unified Data Analytics Accreditation.pdf" width="100%" height="250"></iframe>
<br>
<a href="https://credentials.databricks.com/8017ed76-2f2c-4336-9fd4-b80890f8744b"> Credential URL</i></a>
</p>
</div>
<!-- / Training 1 -->
<!-- Training 2 -->
<div class="timeline-item">
<h4 class="item-title">Deploying Scalable Machine Learning for Data Science</h4>
<span class="item-period">Jan 2021</span>
<span class="item-small">linkedIn</span>
<p class="item-description">
<iframe src="certification/Deploying Scalable Machine Learning for Data Science.pdf" width="100%" height="250"></iframe>
<br>
<a href=""> </i></a>
</p>
</div>
<!-- / Training 2 -->
<!-- Training 3 -->
<div class="timeline-item">
<h4 class="item-title">SQL: Data Reporting and Analysis</h4>
<span class="item-period">Dec 2020</span>
<span class="item-small">linkedIn</span>
<p class="item-description">
<iframe src="certification/SQL Data Reporting and Analysis.pdf" width="100%" height="250"></iframe>
<br>
<a href=""> </i></a>
</p>
</div>
<!-- / Training 3 -->
<!-- Training 4 -->
<div class="timeline-item">
<h4 class="item-title">Python for Data Science and Machine Learning Bootcamp</h4>
<span class="item-period">Aug 2020</span>
<span class="item-small">Udemy</span>
<p class="item-description">
<iframe src="certification/Python to ml bootcamp.pdf" width="100%" height="250"></iframe>
<br>
<a href="http://ude.my/UC-23cd8297-6c2f-40e7-8d7a-dd43de46b7ed"> Credential URL </i></a>
</p>
</div>
<!-- / Training 4 -->
<!-- Training 5 -->
<div class="timeline-item">
<h4 class="item-title">Power BI Data Modeling with DAX</h4>
<span class="item-period">Apr 2020</span>
<span class="item-small">linkedIn</span>
<p class="item-description">