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<!-- Autor: Jose Maria Rico Leal -->
<!-- Project: Data Analyst Portfolio Web Design -->
<!-- Date: 04/07/2024 -->
<!DOCTYPE html>
<html lang="en">
<head>
<!-- Meta Information -->
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Jose Rico Portfolio | Data Analytics & Machine Learning</title>
<meta name="description" content="Welcome to my portfolio, showcasing my skills, projects, and experience in Data Analytics, Business Intelligence, and Machine Learning.">
<!-- Open Graph (OG) for Social Media Sharing -->
<meta property="og:title" content="Jose Rico Portfolio | Data Analytics & Machine Learning">
<meta property="og:description" content="Explore my portfolio with projects in Python, SQL, Power BI, Tableau, and Machine Learning.">
<meta property="og:url" content="https://josericodata.github.io/index.html">
<meta property="og:type" content="website">
<!-- Canonical Link (SEO) -->
<link rel="canonical" href="https://josericodata.github.io/index.html">
<!-- Google Search Verification -->
<meta name="google-site-verification" content="mH8Z2zrOpw1mYTgLbcBfz2-kqumCG0uYSO2rDq7_Dtg" />
<!-- Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-18B7811ES3"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag() { dataLayer.push(arguments); }
gtag('js', new Date());
gtag('config', 'G-18B7811ES3');
</script>
<!-- Favicon -->
<link rel="icon" href="assets/img/favicon.png" type="image/png">
<!-- Stylesheets -->
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css">
<link rel="stylesheet" href="assets/styles/styles.css">
</head>
<body>
<header>
<div class="header-container">
<div class="header-left">
<h1>Jose Rico</h1>
<p>Data Analyst | MSc Data Analytics</p>
</div>
<div class="header-right">
<a href="pages/YouTubeVideos.html" target="_blank" class="cv-link">
<i class="fa-brands fa-youtube"></i> YouTube Videos
</a>
<a href="assets/CV/Jose_Rico_CV.pdf" target="_blank" class="cv-link">
<i class="fas fa-download"></i> Download CV
</a>
</div>
</div>
</header>
<div class="container">
<section class="section introduction">
<h2 class="text-center">About Me</h2>
<div class="row">
<div class="col-md-4">
<img src="assets/img/bike.jpg" alt="Jose Biking" class="img-fluid rounded-circle mx-auto d-block">
</div>
<div class="col-md-8">
<p class="text-justify">
Hello! Thank you for visiting my portfolio. I like to tinker with data in all its shapes and forms.
Currently, I work as a Pricing Analyst for Cardinal Health in Dublin, Ireland. My role is to act as
a bridge between IT and several stakeholders, ensuring that all data is accurate within our systems and
does not negatively impact the business's financial health. To complement my job, I recently
<a href="assets/transcript/TranscriptMScDataAnalytics.pdf" target="_blank">graduated</a>
with an <strong>MSc in Data Analytics</strong> from <a href="https://www.cct.ie/" target="_blank">CCT College</a>.
Finally, to continue developing my skillset, I am creating applications and deploying them with
<a href="https://share.streamlit.io/user/josericodata" target="_blank">Streamlit</a>. The data analytics field is never boring!
</p>
</div>
</div>
</section>
<section class="section streamlit">
<h2 class="text-center">Streamlit Apps</h2>
<div class="row">
<div class="col-md-12">
<div class="card text-center">
<div class="card-body">
<h3 class="card-title">Dublin Bus App</h3>
<p class="card-text text-justify">
The app processes real-time API data to track live Dublin bus locations,
parsing <strong>JSON</strong> responses to extract relevant details such as bus positions,
routes, and calculating estimated arrival times.
</p>
<div class="mt-3">
<h4>Demo:</h4>
<img src="assets/gifs/BusLocator.gif" alt="Dublin Bus App Demo" class="img-fluid">
</div>
<div class="mt-3">
<h4>Live app:</h4>
<a href="https://dublinbusapp.streamlit.app/" target="_blank">
<img src="assets/img/streamlit-seeklogo.svg" alt="Streamlit App" class="streamlit-logo">
</a>
</div>
</div>
</div>
<div class="card text-center">
<div class="card-body">
<h3 class="card-title">Flight Tracking App</h3>
<p class="card-text text-justify">
The app retrieves real-time flight data using the <strong>OpenSky API</strong>,
providing live updates on flight states, including latitude, longitude, altitude, and callsigns.
It processes this data dynamically, filtering flights by airline and location, and integrates <strong>OurAirports</strong>
and <strong>OpenFlights</strong> datasets to compute nearest airports and enrich flight details for visualisation.
</p>
<div class="mt-3">
<h4>Demo:</h4>
<img src="assets/gifs/flights.gif" alt="Flight Tracking App" class="img-fluid">
</div>
<div class="mt-3">
<h4>Live app:</h4>
<a href="https://flighttrackingapp.streamlit.app/" target="_blank">
<img src="assets/img/streamlit-seeklogo.svg" alt="Streamlit App" class="streamlit-logo">
</a>
</div>
</div>
</div>
<div class="card text-center">
<div class="card-body">
<h3 class="card-title">SP500 Forecaster</h3>
<p class="card-text text-justify">
This app leverages <strong>Machine Learning</strong> for stock prediction using historical financial data from
<strong>S&P 500</strong> stocks. It retrieves stock price data via the Yahoo <strong>Finance API (YFinance)</strong>
and applies <strong>AutoReg (Auto Regressive)</strong> modeling from the <strong>Statsmodels</strong>
library to generate predictions for up to 180 days.
</p>
<div class="mt-3">
<h4>Demo:</h4>
<img src="assets/gifs/sp500forecaster.gif" alt="SP500 Forecaster App Demo" class="img-fluid">
</div>
<div class="mt-3">
<h4>Live app:</h4>
<a href="https://sp500forecaster.streamlit.app/" target="_blank">
<img src="assets/img/streamlit-seeklogo.svg" alt="Streamlit App" class="streamlit-logo">
</a>
</div>
</div>
</div>
<div class="card text-center">
<div class="card-body">
<h3 class="card-title">Crypto Predictor</h3>
<p class="card-text text-justify">
<strong>CryptoPredictor</strong> is a <strong>Machine Learning-Powered</strong> app that forecasts cryptocurrency prices using historical data.
It integrates real-time data from the <strong>Yahoo Finance API</strong> and <strong>CoinGecko API</strong>
for up-to-date cryptocurrency market insights. The app employs a <strong>Long Short-Term Memory (LSTM)</strong>
neural network, optimised for time-series predictions, to analyse historical trends and generate price forecasts for the next 1–90 days.
</p>
<div class="mt-3">
<h4>Demo:</h4>
<img src="assets/gifs/crypto.gif" alt="Crypto Predictor Demo" class="img-fluid">
</div>
<div class="mt-3">
<h4>Live app:</h4>
<a href="https://cryptopredictorpro.streamlit.app/" target="_blank">
<img src="assets/img/streamlit-seeklogo.svg" alt="Streamlit App" class="streamlit-logo">
</a>
</div>
</div>
</div>
<div class="card text-center">
<div class="card-body">
<h3 class="card-title">Statistics App</h3>
<p class="card-text text-justify">
This app is an interactive app for numerical analysis and statistical testing,
supporting normality checks, p-value calculations, and confidence intervals.
It utilises <strong>NumPy</strong> for computations, <strong>SciPy</strong> for statistical tests,
<strong>Pandas</strong> for data handling, and <strong>Matplotlib</strong> for visualising results.
</p>
<div class="mt-3">
<h4>Demo:</h4>
<img src="assets/gifs/SignificanceLevelCalculator.gif" alt="Statistics App Demo" class="img-fluid">
</div>
<div class="mt-3">
<h4>Live app:</h4>
<a href="https://statisticsapp.streamlit.app/" target="_blank">
<img src="assets/img/streamlit-seeklogo.svg" alt="Streamlit App" class="streamlit-logo">
</a>
</div>
</div>
</div>
<div class="card text-center">
<div class="card-body">
<h3 class="card-title">Synthetic Data Generator App</h3>
<p class="card-text text-justify">
The Synthetic Data Generator is a tool for generating <strong>IID (Independent and Identically Distributed)</strong>
and <strong>Non-IID</strong> datasets with customisable parameters. Built with Python and Streamlit, this app enables
users to create structured synthetic data for machine learning, research, and data exploration.
</p>
<div class="mt-3">
<h4>Demo:</h4>
<img src="assets/gifs/dataGeneratorApp.gif" alt="Synthetic Data Generator App Demo" class="img-fluid">
</div>
<div class="mt-3">
<h4>Live app:</h4>
<a href="https://freesyntheticdatagenerator.streamlit.app/" target="_blank">
<img src="assets/img/streamlit-seeklogo.svg" alt="Streamlit App" class="streamlit-logo">
</a>
</div>
</div>
</div>
</div>
</div>
</section>
<h2 class="text-center">MSc Capstone Project</h2>
<div class="col-md-12">
<div class="card text-center">
<div class="card-body">
<h3 class="card-title">Federated Learning: Evaluating Popular Frameworks and Developing a Cross-Client Horizontal Server</h3>
<p class="card-text text-justify">This project investigates Federated Learning (FL), a decentralised machine learning approach that enhances data privacy. It evaluates five popular FL frameworks and develops a cross-client horizontal FL server for both technological and medical scenarios using IID and non-IID data. The findings reveal improved model accuracy in the technological scenario but a slight decline in the medical scenario. The research highlights the potential of FL while identifying limitations and areas for future improvement in server infrastructure and privacy concerns.</p>
<div class="video-container">
<iframe width="860" height="615" src="https://www.youtube.com/embed/vErRPw0Rasw" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
</div><br>
<h4>GitHub repo:</h4>
<a href="https://github.com/JoseRicoCct/Capstone_MScData_Sept23_SB" target="_blank"><i class="fab fa-github fa-3x"></i></a></p>
</div>
</div>
</div>
</section>
</div>
<footer>
<div class="footer-content">
<!-- Contact Section -->
<div class="footer-section">
<h4>Contact</h4>
<p><i class="fab fa-github"></i> <a href="https://github.com/josericodata" target="_blank">GitHub</a></p>
<p><i class="fab fa-youtube"></i> <a href="https://www.youtube.com/@josericodata" target="_blank">YouTube</a></p>
<p><i class="fab fa-linkedin"></i> <a href="https://www.linkedin.com/in/josericodata/" target="_blank">LinkedIn</a></p>
<p><img src="assets/img/footerStreamlit.svg" alt="Streamlit" class="footer-icon"><a href="https://share.streamlit.io/user/josericodata" target="_blank">Streamlit</a></p>
</div>
</div>
<!-- Copyright Section -->
<div class="footer-bottom">
<p>© <span id="current-year"></span> Jose Rico.</p>
</div>
</footer>
<script src="https://code.jquery.com/jquery-3.5.1.slim.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@popperjs/core@2.9.2/dist/umd/popper.min.js"></script>
<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/js/bootstrap.min.js"></script>
<script>document.getElementById("current-year").textContent = new Date().getFullYear();</script>
</body>
</html>