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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Francisco Alex Mares Solano | Data Scientist & ML Engineer</title>
<meta name="description" content="Portfolio of Francisco Alex Mares Solano, Data Scientist and ML Engineer focused on end-to-end modeling, analytics automation, ETLs, dashboards, and executive-ready AI solutions.">
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Manrope:wght@400;500;600;700;800&family=Cormorant+Garamond:wght@500;600;700&display=swap" rel="stylesheet">
<style>
:root {
--text: #1c1a17;
--muted: #60574d;
--line: rgba(28, 26, 23, 0.12);
--accent: #0f5c4d;
--accent-soft: rgba(15, 92, 77, 0.10);
--card: rgba(255, 255, 255, 0.72);
--card-strong: rgba(255, 253, 249, 0.88);
--tag: #ebe3d6;
--shadow: 0 24px 70px rgba(39, 30, 20, 0.08);
}
* { box-sizing: border-box; }
html { scroll-behavior: smooth; }
body {
margin: 0;
font-family: "Manrope", sans-serif;
color: var(--text);
background:
radial-gradient(circle at top left, rgba(15, 92, 77, 0.14), transparent 24%),
radial-gradient(circle at top right, rgba(168, 126, 81, 0.14), transparent 20%),
linear-gradient(180deg, #f7f2eb 0%, #f1eadf 100%);
}
img { display: block; max-width: 100%; }
a { color: inherit; text-decoration: none; }
.lang-es { display: none; }
body[data-lang="es"] .lang-en { display: none; }
body[data-lang="es"] .lang-es { display: initial; }
body[data-lang="en"] .lang-en { display: initial; }
body[data-lang="en"] .lang-es { display: none; }
.shell {
width: min(1120px, calc(100% - 32px));
margin: 24px auto 40px;
}
.frame {
border: 1px solid rgba(255, 255, 255, 0.5);
border-radius: 36px;
background: linear-gradient(180deg, rgba(255, 253, 249, 0.9), rgba(255, 250, 245, 0.8));
backdrop-filter: blur(18px);
box-shadow: var(--shadow);
overflow: hidden;
}
.topbar,
.hero,
main,
.footer {
padding-left: 34px;
padding-right: 34px;
}
.topbar {
display: flex;
justify-content: space-between;
align-items: center;
gap: 16px;
padding-top: 22px;
padding-bottom: 22px;
border-bottom: 1px solid var(--line);
}
.brand {
display: inline-flex;
align-items: center;
gap: 12px;
font-size: 0.92rem;
font-weight: 700;
letter-spacing: 0.08em;
text-transform: uppercase;
}
.brand-mark {
width: 12px;
height: 12px;
border-radius: 999px;
background: linear-gradient(135deg, var(--accent), #7ca46f);
box-shadow: 0 0 0 6px rgba(15, 92, 77, 0.10);
}
.lang-switch {
display: inline-flex;
gap: 6px;
padding: 4px;
border-radius: 999px;
border: 1px solid var(--line);
background: rgba(255, 255, 255, 0.62);
}
.lang-button {
border: none;
background: transparent;
color: var(--muted);
min-width: 52px;
min-height: 38px;
padding: 0 14px;
border-radius: 999px;
font: inherit;
font-size: 0.88rem;
font-weight: 700;
cursor: pointer;
transition: background 0.2s ease, color 0.2s ease;
}
body[data-lang="en"] .lang-button[data-set-lang="en"],
body[data-lang="es"] .lang-button[data-set-lang="es"] {
background: var(--text);
color: #f7f2eb;
}
.hero,
.section {
scroll-margin-top: 24px;
}
.hero {
display: grid;
grid-template-columns: minmax(0, 1.18fr) minmax(300px, 0.82fr);
gap: 22px;
align-items: stretch;
padding-top: 34px;
padding-bottom: 28px;
min-height: min(92svh, 760px);
}
.eyebrow {
display: inline-flex;
align-items: center;
gap: 10px;
padding: 8px 14px;
border-radius: 999px;
background: var(--accent-soft);
color: var(--accent);
font-size: 0.82rem;
font-weight: 800;
letter-spacing: 0.08em;
text-transform: uppercase;
}
.eyebrow::before {
content: "";
width: 7px;
height: 7px;
border-radius: 999px;
background: currentColor;
}
h1, h2, h3 {
margin: 0;
font-family: "Cormorant Garamond", serif;
letter-spacing: -0.03em;
line-height: 0.97;
}
h1 {
margin-top: 16px;
font-size: clamp(3.1rem, 6.6vw, 5.4rem);
font-weight: 600;
max-width: 9ch;
}
.hero-subtitle {
margin: 14px 0 0;
max-width: 18ch;
font-size: 1.18rem;
font-weight: 700;
line-height: 1.35;
}
.hero-copy p,
.section-copy,
.tool-group p,
.workflow-step p,
.project-card p,
.footer p {
margin: 16px;
color: var(--muted);
}
.hero-text {
margin-top: 16px;
max-width: 56ch;
font-size: 0.98rem;
line-height: 1.66;
}
.hero-tags,
.contact-strip,
.hero-index,
.tool-tags,
.project-stack,
.footer-contact {
display: flex;
flex-wrap: wrap;
gap: 10px;
}
.hero-tags {
margin-top: 18px;
}
.hero-index {
margin-top: 18px;
}
.contact-strip {
margin-top: 18px;
}
.contact-chip {
display: inline-flex;
align-items: center;
min-height: 38px;
padding: 0 14px;
border-radius: 999px;
border: 1px solid var(--line);
background: rgba(255, 255, 255, 0.62);
color: var(--muted);
font-size: 0.92rem;
font-weight: 700;
transition: color 0.2s ease, border-color 0.2s ease, transform 0.2s ease;
}
.contact-chip:hover {
color: var(--accent);
border-color: rgba(15, 92, 77, 0.28);
transform: translateY(-2px);
}
.tag,
.index-link,
.tool-tag,
.project-stack span {
display: inline-flex;
align-items: center;
min-height: 38px;
padding: 0 14px;
border-radius: 999px;
background: var(--tag);
font-size: 0.9rem;
font-weight: 700;
}
.index-link {
background: rgba(255, 255, 255, 0.62);
border: 1px solid var(--line);
transition: color 0.2s ease, border-color 0.2s ease, transform 0.2s ease;
}
.index-link:hover {
color: var(--accent);
border-color: rgba(15, 92, 77, 0.28);
transform: translateY(-2px);
}
.hero-panel,
.tool-group,
.workflow-step,
.project-card {
border: 1px solid rgba(28, 26, 23, 0.08);
border-radius: 26px;
background: var(--card);
}
.hero-panel {
display: flex;
flex-direction: column;
justify-content: space-between;
padding: 22px;
background: var(--card-strong);
}
.portrait {
width: min(180px, 100%);
aspect-ratio: 4 / 5;
object-fit: cover;
border-radius: 22px;
box-shadow: 0 18px 40px rgba(28, 26, 23, 0.14);
margin-bottom: 18px;
}
.hero-panel h2 {
font-size: 1.9rem;
margin-bottom: 12px;
}
.hero-panel > p {
font-size: 0.96rem;
line-height: 1.6;
color: var(--muted);
}
.hero-points {
display: grid;
gap: 12px;
margin-top: 18px;
}
.hero-point {
padding-top: 12px;
border-top: 1px solid var(--line);
}
.hero-point:first-child {
padding-top: 0;
border-top: none;
}
.hero-point strong {
display: block;
margin-bottom: 4px;
font-size: 0.98rem;
}
.hero-point p,
.tool-group p,
.workflow-step p,
.project-card p {
font-size: 0.93rem;
line-height: 1.56;
}
main {
padding-top: 0;
padding-bottom: 24px;
}
.section {
padding-top: 26px;
padding-bottom: 26px;
border-top: 1px solid var(--line);
min-height: min(90svh, 760px);
display: flex;
flex-direction: column;
justify-content: center;
}
.section.projects-section {
min-height: auto;
justify-content: flex-start;
}
.section-header {
display: grid;
grid-template-columns: minmax(0, 1fr) minmax(260px, 0.65fr);
gap: 18px;
align-items: end;
margin-bottom: 20px;
}
.section-kicker {
margin-bottom: 8px;
color: var(--accent);
font-size: 0.84rem;
font-weight: 800;
letter-spacing: 0.08em;
text-transform: uppercase;
}
.section-header h2 {
font-size: clamp(2rem, 4.6vw, 3rem);
}
.section-copy {
max-width: 34ch;
font-size: 0.96rem;
line-height: 1.6;
}
.reveal-item {
opacity: 0;
transform: translateY(24px);
transition:
opacity 0.75s ease,
transform 0.75s ease;
}
.reveal-item.is-visible {
opacity: 1;
transform: translateY(0);
}
.tool-grid,
.workflow,
.projects-grid {
display: grid;
gap: 14px;
}
.tool-grid {
grid-template-columns: repeat(3, minmax(0, 1fr));
}
.workflow {
grid-template-columns: repeat(5, minmax(0, 1fr));
}
#workflow .workflow {
gap: 20px;
align-items: stretch;
}
.projects-grid {
grid-template-columns: repeat(12, minmax(0, 1fr));
}
.tool-group,
.workflow-step,
.project-card {
padding: 18px;
}
.tool-group h3,
.workflow-step h3,
.project-card h3 {
font-size: 1.4rem;
margin-bottom: 10px;
}
.tool-tags {
margin-top: 14px;
}
.workflow-step span,
.project-meta {
display: inline-flex;
align-items: center;
gap: 16px;
color: var(--accent);
font-size: 0.82rem;
font-weight: 800;
letter-spacing: 0.08em;
text-transform: uppercase;
}
.workflow-step span {
margin-bottom: 10px;
}
#workflow .workflow-step {
display: flex;
flex-direction: column;
justify-content: space-between;
min-height: 260px;
padding: 24px 20px;
}
.project-card {
grid-column: span 4;
overflow: hidden;
transition: transform 0.22s ease, box-shadow 0.22s ease, border-color 0.22s ease;
}
.project-card.featured {
grid-column: span 6;
}
.project-card:hover {
transform: translateY(-4px);
box-shadow: 0 22px 42px rgba(39, 30, 20, 0.10);
border-color: rgba(15, 92, 77, 0.22);
}
.project-image {
width: calc(100% + 36px);
max-width: calc(100% + 36px);
height: 170px;
object-fit: cover;
margin: -18px -18px 16px;
background: #ddd4c7;
}
.project-meta {
margin-bottom: 8px;
}
.project-link {
display: inline-flex;
margin-top: 14px;
color: var(--accent);
font-size: 0.92rem;
font-weight: 700;
}
.footer {
display: flex;
justify-content: space-between;
align-items: center;
gap: 16px;
padding-top: 22px;
padding-bottom: 26px;
border-top: 1px solid var(--line);
}
.footer-note {
max-width: 40ch;
font-size: 0.94rem;
line-height: 1.6;
}
@media (prefers-reduced-motion: reduce) {
.reveal-item,
.reveal-item.is-visible,
.project-card,
.index-link,
.contact-chip {
opacity: 1;
transform: none;
transition: none;
}
}
@media (max-width: 1024px) {
.hero,
.section-header,
.footer {
grid-template-columns: 1fr;
}
.tool-grid,
.workflow,
.projects-grid {
grid-template-columns: 1fr 1fr;
}
#workflow .workflow-step {
min-height: 220px;
}
.project-card,
.project-card.featured {
grid-column: span 1;
}
.footer {
display: grid;
}
}
@media (max-width: 720px) {
.shell {
width: min(1120px, calc(100% - 16px));
margin: 12px auto 24px;
}
.frame {
border-radius: 28px;
}
.topbar,
.hero,
main,
.footer {
padding-left: 18px;
padding-right: 18px;
}
.topbar {
flex-direction: column;
align-items: flex-start;
}
.hero,
.section {
min-height: auto;
}
.tool-grid,
.workflow,
.projects-grid {
grid-template-columns: 1fr;
}
#workflow .workflow-step {
min-height: 0;
padding: 20px 18px;
}
h1 {
max-width: 100%;
}
.hero-subtitle,
.section-copy {
max-width: 100%;
}
}
</style>
</head>
<body data-lang="en">
<div class="shell">
<div class="frame">
<header class="topbar">
<div class="brand">
<span class="brand-mark"></span>
Francisco Alex Mares Solano
</div>
<div class="lang-switch" aria-label="Language selector">
<button class="lang-button" type="button" data-set-lang="en">EN</button>
<button class="lang-button" type="button" data-set-lang="es">ES</button>
</div>
</header>
<section class="hero">
<div class="hero-copy">
<span class="eyebrow">
<span class="lang-en">Data Scientist & ML Engineer</span>
<span class="lang-es">Científico de Datos e Ingeniero ML</span>
</span>
<h1>Francisco Alex Mares Solano</h1>
<p class="hero-subtitle">
<span class="lang-en">Machine learning, analytics, and AI solutions built for real decisions.</span>
<span class="lang-es">Machine learning, analítica y soluciones de IA pensadas para decisiones reales.</span>
</p>
<p class="hero-text">
<span class="lang-en">With a Master's degree in Computer Engineering and +3 years of experience in Advanced Analytics, Business Intelligence, and Data Science. I build complete and automatized data products: pipelines, dashboards, predictive models, and AI systems that are useful, clear, and ready for business use.</span>
<span class="lang-es">Con una Maestría en Ingeniería en Computación y más de 3 años de experiencia en Analítica Avanzada, Inteligencia de negocios y Ciencia de Datos. Construyo productos de datos completos y automatizados: pipelines, dashboards, modelos predictivos y sistemas de IA que son útiles, claros y listos para su uso empresarial.</span>
</p>
<div class="hero-tags">
<span class="tag">
<span class="lang-en">Automation</span>
<span class="lang-es">Automatización</span>
</span>
<span class="tag">
<span class="lang-en">Analytics</span>
<span class="lang-es">Analítica</span>
</span>
<span class="tag">
<span class="lang-en">Modeling</span>
<span class="lang-es">Modelado</span>
</span>
<span class="tag">
<span class="lang-en">Dashboards</span>
<span class="lang-es">Dashboards</span>
</span>
<span class="tag">
<span class="lang-en">Applied AI</span>
<span class="lang-es">IA aplicada</span>
</span>
</div>
<div class="contact-strip">
<a class="contact-chip" href="mailto:alxmares@outlook.com">alxmares@outlook.com</a>
<span class="contact-chip">CDMX, México</span>
<a class="contact-chip" href="https://www.linkedin.com/in/alxmrs/" target="_blank" rel="noreferrer">linkedin.com/in/alxmrs</a>
</div>
<div class="hero-index">
<a class="index-link" href="#stack">
<span class="lang-en">Go to Tools</span>
<span class="lang-es">Ir a Herramientas</span>
</a>
<a class="index-link" href="#workflow">
<span class="lang-en">Go to Workflow</span>
<span class="lang-es">Ir a Proceso</span>
</a>
<a class="index-link" href="#projects">
<span class="lang-en">Go to Projects</span>
<span class="lang-es">Ir a Proyectos</span>
</a>
</div>
</div>
<aside class="hero-panel">
<img class="portrait" src="assets/Fotograf%C3%ADa.jpg" alt="Francisco Alex Mares Solano portrait">
<h2>
<span class="lang-en">What I do best</span>
<span class="lang-es">Lo que mejor hago</span>
</h2>
<p>
<span class="lang-en">From raw data to final presentation, I focus on work that is technically solid and easy to use.</span>
<span class="lang-es">Desde el dato crudo hasta la presentación final, me enfoco en trabajo sólido técnicamente y fácil de usar.</span>
</p>
<div class="hero-points">
<div class="hero-point">
<strong>
<span class="lang-en">Data preparation</span>
<span class="lang-es">Preparación de datos</span>
</strong>
<p>
<span class="lang-en">Reliable ETLs, cleaning, validation, and structured datasets.</span>
<span class="lang-es">ETLs confiables, limpieza, validación y datos bien estructurados.</span>
</p>
</div>
<div class="hero-point">
<strong>
<span class="lang-en">Modeling</span>
<span class="lang-es">Modelado</span>
</strong>
<p>
<span class="lang-en">Statistics, modeling, machine learning, and deep learning for practical use cases.</span>
<span class="lang-es">Estadística, modelado, machine learning y deep learning para casos de uso reales.</span>
</p>
</div>
<div class="hero-point">
<strong>
<span class="lang-en">Clear delivery</span>
<span class="lang-es">Entrega clara</span>
</strong>
<p>
<span class="lang-en">Dashboards, reports, presentations and concise narratives for decision-making.</span>
<span class="lang-es">Dashboards, reportes, presentaciones y narrativas claras para la toma de decisiones.</span>
</p>
</div>
</div>
</aside>
</section>
<main>
<section class="section" id="stack">
<div class="section-header">
<div>
<div class="section-kicker">
<span class="lang-en">Core stack</span>
<span class="lang-es">Stack principal</span>
</div>
<h2>
<span class="lang-en">Tools grouped by how I use them.</span>
<span class="lang-es">Herramientas agrupadas según cómo las uso.</span>
</h2>
</div>
<p class="section-copy">
<span class="lang-en">A compact view of the technologies behind my analytics, ML, and delivery work.</span>
<span class="lang-es">Una vista compacta de las tecnologías que sostienen mi trabajo en analítica, ML y entrega.</span>
</p>
</div>
<div class="tool-grid">
<article class="tool-group">
<h3>
<span class="lang-en">Programming</span>
<span class="lang-es">Programación</span>
</h3>
<p>
<span class="lang-en">Core languages for data products, experiments, and automation.</span>
<span class="lang-es">Lenguajes base para productos de datos, experimentos y automatización.</span>
</p>
<div class="tool-tags"><span class="tool-tag">Python</span><span class="tool-tag">R</span><span class="tool-tag">SQL</span><span class="tool-tag">MATLAB</span><span class="tool-tag">C</span><span class="tool-tag">VBA</span></div>
</article>
<article class="tool-group">
<h3>
<span class="lang-en">Data engineering</span>
<span class="lang-es">Ingeniería de datos</span>
</h3>
<p>
<span class="lang-en">Storage, ETLs, orchestration, and scalable processing.</span>
<span class="lang-es">Almacenamiento, ETLs, orquestación y procesamiento escalable.</span>
</p>
<div class="tool-tags"><span class="tool-tag">SQL</span><span class="tool-tag">noSQL</span><span class="tool-tag">Spark</span><span class="tool-tag">Hadoop</span><span class="tool-tag">Databricks</span><span class="tool-tag">ETL Jobs</span><span class="tool-tag">Cloudera</span></div>
</article>
<article class="tool-group">
<h3>
<span class="lang-en">Analytics & ML</span>
<span class="lang-es">Analítica y ML</span>
</h3>
<p>
<span class="lang-en">Exploration, feature engineering, statistics, and model building.</span>
<span class="lang-es">Exploración, ingeniería de variables, estadística y modelado.</span>
</p>
<div class="tool-tags"><span class="tool-tag">Pandas</span><span class="tool-tag">NumPy</span><span class="tool-tag">Scikit-learn</span><span class="tool-tag">Matplotlib</span><span class="tool-tag">PyTorch</span><span class="tool-tag">TensorFlow</span></div>
</article>
<article class="tool-group">
<h3>
<span class="lang-en">BI & dashboards</span>
<span class="lang-es">BI y dashboards</span>
</h3>
<p>
<span class="lang-en">Interfaces to monitor, explain, and share results clearly.</span>
<span class="lang-es">Interfaces para monitorear, explicar y compartir resultados con claridad.</span>
</p>
<div class="tool-tags"><span class="tool-tag">Power BI</span><span class="tool-tag">Tableau</span><span class="tool-tag">Looker</span><span class="tool-tag">Dash</span><span class="tool-tag">Folium</span><span class="tool-tag">DAX</span></div>
</article>
<article class="tool-group">
<h3>
<span class="lang-en">Cloud & business</span>
<span class="lang-es">Cloud y negocio</span>
</h3>
<p>
<span class="lang-en">Tools for deployment, communication, and business-ready delivery.</span>
<span class="lang-es">Herramientas para despliegue, comunicación y entrega orientada a negocio.</span>
</p>
<div class="tool-tags"><span class="tool-tag">AWS</span><span class="tool-tag">GCP</span><span class="tool-tag">Excel</span><span class="tool-tag">PowerPoint</span><span class="tool-tag">Cloudera</span></div>
</article>
</div>
</section>
<section class="section" id="workflow">
<div class="section-header">
<div>
<div class="section-kicker">
<span class="lang-en">Workflow</span>
<span class="lang-es">Proceso</span>
</div>
<h2>
<span class="lang-en">How I turn data into decisions.</span>
<span class="lang-es">Cómo convierto datos en decisiones.</span>
</h2>
</div>
<p class="section-copy">
<span class="lang-en">A simple end-to-end process, from acquisition to delivery.</span>
<span class="lang-es">Un proceso simple de punta a punta, desde la adquisición hasta la entrega.</span>
</p>
</div>
<div class="workflow">
<article class="workflow-step">
<span>
<span class="lang-en">01</span>
<span class="lang-es">01</span>
</span>
<h3>
<span class="lang-en">Ingest</span>
<span class="lang-es">Ingesta</span>
</h3>
<p>
<span class="lang-en">Collection, cleaning, validation, and ETLs.</span>
<span class="lang-es">Recopilación, limpieza, validación y ETLs.</span>
</p>
</article>
<article class="workflow-step">
<span>
<span class="lang-en">02</span>
<span class="lang-es">02</span>
</span>
<h3>
<span class="lang-en">Analyze</span>
<span class="lang-es">Análisis</span>
</h3>
<p>
<span class="lang-en">Exploration, KPIs, monitoring, and insight discovery.</span>
<span class="lang-es">Exploración, KPIs, monitoreo y descubrimiento de insights.</span>
</p>
</article>
<article class="workflow-step">
<span>
<span class="lang-en">03</span>
<span class="lang-es">03</span>
</span>
<h3>
<span class="lang-en">Model</span>
<span class="lang-es">Modelado</span>
</h3>
<p>
<span class="lang-en">Statistical baselines, ML systems, and evaluation.</span>
<span class="lang-es">Baselines estadísticos, sistemas de ML y evaluación.</span>
</p>
</article>
<article class="workflow-step">
<span>
<span class="lang-en">04</span>
<span class="lang-es">04</span>
</span>
<h3>
<span class="lang-en">Deploy</span>
<span class="lang-es">Despliegue</span>
</h3>
<p>
<span class="lang-en">Automation, inference, and reusable workflows.</span>
<span class="lang-es">Automatización, inferencia y flujos reutilizables.</span>
</p>
</article>
<article class="workflow-step">
<span>
<span class="lang-en">05</span>
<span class="lang-es">05</span>
</span>
<h3>
<span class="lang-en">Present</span>
<span class="lang-es">Presentación</span>
</h3>
<p>
<span class="lang-en">Dashboards, reports, and executive-ready communication.</span>
<span class="lang-es">Dashboards, reportes y comunicación lista para dirección.</span>
</p>
</article>
</div>
</section>
<section class="section projects-section" id="projects">
<div class="section-header">
<div>
<div class="section-kicker">
<span class="lang-en">Projects</span>
<span class="lang-es">Proyectos</span>
</div>
<h2>
<span class="lang-en">Selected work.</span>
<span class="lang-es">Trabajo seleccionado.</span>
</h2>
</div>
<p class="section-copy">
<span class="lang-en">A concise sample of products built across analytics, machine learning, BI, and AI.</span>
<span class="lang-es">Una muestra concisa de productos en analítica, machine learning, BI e IA.</span>
</p>
</div>
<div class="projects-grid">
<a class="project-card featured" href="https://alxmares.github.io/LigaMX_modelo_de_apuestas/">
<img class="project-image" src="assets/ligamx.jpg" alt="Liga MX betting model project">
<div class="project-meta">
<span class="lang-en">Statistical modeling and ML</span>
<span class="lang-es">Modelado estadístico</span>
</div>
<h3>
<span class="lang-en">Liga MX betting edge model</span>
<span class="lang-es">Modelo cuantitativo de apuestas para Liga MX</span>
</h3>
<p>
<span class="lang-en">Full pipeline with feature engineering, ELO recalibration, and calibrated logistic regression built to generate measurable betting signals.</span>
<span class="lang-es">Pipeline completo con ingeniería de variables, recalibración de ELO y regresión logística calibrada para generar señales de apuesta medibles.</span>
</p>
<div class="project-stack"><span>Python</span><span>Scikit-learn</span><span>ELO</span><span>Dashboard</span></div>
<span class="project-link">
<span class="lang-en">Open project</span>
<span class="lang-es">Abrir proyecto</span>
</span>
</a>
<a class="project-card featured" href="https://alxmares.github.io/HUB_Spanish_SER_HCI/">
<img class="project-image" src="w2v2-ser/assets/logo.png" alt="Speech emotion recognition project">
<div class="project-meta">
<span class="lang-en">Deep learning</span>
<span class="lang-es">Deep learning</span>
</div>
<h3>
<span class="lang-en">Spanish speech emotion recognition</span>
<span class="lang-es">Reconocimiento de emociones en voz</span>
</h3>
<p>
<span class="lang-en">Multi-task Spanish SER framework trained on six corpora, designed for strong emotion recognition and empathic HCI integration.</span>
<span class="lang-es">Framework de SER en español de múltiples tareas, entrenado en seis corpus y diseñado para reconocimiento robusto e integración en HCI empática.</span>
</p>
<div class="project-stack"><span>PyTorch</span><span>Transformers</span><span>TensorBoard</span><span>Audio ML</span></div>
<span class="project-link">
<span class="lang-en">Open project</span>
<span class="lang-es">Abrir proyecto</span>
</span>
</a>
<a class="project-card" href="https://alxmares.github.io/SpaceX-Launch-Analysis-and-Landing-Prediction/">
<img class="project-image" src="assets/spacex.jpg" alt="SpaceX project">
<div class="project-meta">
<span class="lang-en">Predictive ML</span>
<span class="lang-es">ML predictivo</span>
</div>
<h3>
<span class="lang-en">SpaceX launch analysis</span>
<span class="lang-es">Análisis de lanzamientos de SpaceX</span>
</h3>
<p>
<span class="lang-en">Launch history analysis and classification focused on booster landing success.</span>
<span class="lang-es">Análisis histórico y clasificación enfocada en el aterrizaje exitoso de boosters.</span>
</p>
<div class="project-stack"><span>SQL</span><span>Scikit-learn</span><span>Plotly</span><span>Machine Learning</span></div>
<span class="project-link">
<span class="lang-en">Open project</span>
<span class="lang-es">Abrir proyecto</span>
</span>
</a>
<a class="project-card" href="https://alxmares.github.io/Rainfall_prediction_AUS/">
<img class="project-image" src="Weather-Data/assets/logo.jpeg" alt="Rainfall project">
<div class="project-meta">
<span class="lang-en">Predictive ML</span>
<span class="lang-es">ML predictivo</span>
</div>
<h3>
<span class="lang-en">Weather analysis and rainfall prediction</span>
<span class="lang-es">Análisis del clima y predicción de lluvia</span>
</h3>
<p>
<span class="lang-en">Time series analysis and forecasting of rainfall patterns in Australia.</span>
<span class="lang-es">Análisis de series temporales y pronóstico de patrones de lluvia en Australia.</span>
</p>
<div class="project-stack"><span>Scikit-learn</span><span>Plotly</span><span>Machine Learning</span></div>
<span class="project-link">
<span class="lang-en">Open project</span>
<span class="lang-es">Abrir proyecto</span>
</span>
</a>
<a class="project-card" href="https://alxmares.github.io/australia_wildfire/">
<img class="project-image" src="wildfire/assets/logo.jpg" alt="Wildfire project">
<div class="project-meta">
<span class="lang-en">Geospatial analytics</span>
<span class="lang-es">Analítica geoespacial</span>
</div>
<h3>
<span class="lang-en">Wildfire dashboard</span>
<span class="lang-es">Dashboard de incendios</span>
</h3>
<p>
<span class="lang-en">Interactive geospatial analysis to explore wildfire patterns and communicate them clearly.</span>
<span class="lang-es">Análisis geoespacial interactivo para explorar incendios y comunicarlos con claridad.</span>
</p>