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<!DOCTYPE html>
<html lang="it">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Daniele D'Avino - CV</title>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;700&display=swap" rel="stylesheet">
<link rel="stylesheet" href="css/style.css">
</head>
<body>
<div class="menu-toggle">
<span></span>
<span></span>
<span></span>
</div>
<nav>
<a href="index.html">Home</a>
<a href="cv.html" class="active">CV</a>
<a href="blog.html">Blog</a>
</nav>
<header>
<div>
<h1>Daniele D'Avino</h1>
<div class="social-links">
<a href="https://www.linkedin.com/in/daniele-d-avino/" target="_blank" aria-label="LinkedIn">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path d="M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z"/></svg>
</a>
<a href="https://github.com/davins90" target="_blank" aria-label="GitHub">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 496 512"><path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"/></svg>
</a>
<a href="mailto:[email protected]" aria-label="Email">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path d="M48 64C21.5 64 0 85.5 0 112c0 15.1 7.1 29.3 19.2 38.4L236.8 313.6c11.4 8.5 27 8.5 38.4 0L492.8 150.4c12.1-9.1 19.2-23.3 19.2-38.4c0-26.5-21.5-48-48-48H48zM0 176V384c0 35.3 28.7 64 64 64H448c35.3 0 64-28.7 64-64V176L294.4 339.2c-22.8 17.1-54 17.1-76.8 0L0 176z"/></svg>
</a>
</div>
</div>
</header>
<div class="contact-info">
<p>Milano/Domodossola – Italy</p>
<p>Phone: +393474375275</p>
</div>
<div class="separator"></div>
<div class="section">
<h3>Summary</h3>
<p>Machine Learning Engineer with experience in transforming raw data into meaningful insights through the use of AI (Data-centric AI, ML Modeling, AI applications, MLOps, Generative AI) and statistics for better decision-making. Proven expertise in mathematical modeling, machine learning, and statistical techniques. Skilled in delivering technical leadership and managing teams of data scientists and analysts.</p>
</div>
<div class="separator"></div>
<div class="section">
<h3>Skills</h3>
<p><strong>Math and Statistics:</strong> Operative research (optimization), Bayesian statistics, simulation techniques, graph theory.</p>
<p><strong>Dev and Programming:</strong> Python (Scikit-learn, PyTorch, Networkx, Streamlit, OpenCV), Docker, Git, SQL, Google Cloud Platform (Cloud Run, Vertex AI, Big Query), API, Generative AI (LLM), Linux, Kubeflow Pipeline, Terraform.</p>
<p><strong>Data analysis and Machine learning:</strong> Factor analysis, Dimensionality reduction, Network analysis, Regression, Classification, Clustering, Statistical programming, WebApp/POC prototyping, Embedding Techniques, NLP.</p>
</div>
<div class="separator"></div>
<div class="section">
<h3>Work Experience</h3>
<div class="job">
<p class="job-title">Machine Learning Engineer</p>
<p class="job-period">02/2022 – Present</p>
<p><strong>Sky Group, Milano</strong></p>
<p>Work within the anti-piracy and cybersecurity team to develop network monitoring tools. I'm involved in the following tasks:</p>
<ul>
<li>Machine Learning development:
<ul>
<li>Optimizing algorithms for object detection tool, achieving a 10% improvement in accuracy.</li>
<li>Developing Generative AI tools for language and computer vision tasks, reducing execution time by 50%.</li>
<li>Developing and cloud-deploying Machine Learning models for monitoring IP activities over broadcast networks.</li>
<li>Developed an optimization engine (ILP) to minimize the cost of API requests: saving expenses for about 30%.</li>
</ul>
</li>
<li>Cloud Engineering and deployment:
<ul>
<li>Participating in the cloud migration strategy, transitioning from local VMs to a microservices architecture inside GCP, resulting in a 30% reduction in execution time and enhanced logging.</li>
<li>Conducting code reviews and debugging, ensuring robust and efficient team output.</li>
</ul>
</li>
</ul>
</div>
<div class="job">
<p class="job-title">Data Scientist</p>
<p class="job-period">06/2018 – 02/2022</p>
<p><strong>Wealthype, Milano</strong></p>
<p>Developed and maintained machine learning applications for both supervised and unsupervised analysis on mixed structured data. Led data enrichment, simulation, and optimization activities using a Bayesian programming framework.</p>
<ul>
<li>ML applications for wealth management sector that result in an average 5% increase in customer profitability.</li>
<li>
<a href="https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2023089554&_cid=P11-LX59YG-74561-1" target="_blank" rel="noopener noreferrer">
<strong>International PATENT</strong>
</a>
about customized financial portfolio construction method.
</li>
</ul>
</div>
<div class="job">
<p class="job-title">Quantitative Analyst</p>
<p class="job-period">02/2016 – 06/2018</p>
<p><strong>AdviseOnly, Milano</strong></p>
<p>Worked on the digital asset management platform where my main focus was on developing and managing investment strategies for different financial goals pursued by end customers.</p>
</div>
</div>
<div class="separator"></div>
<div class="section">
<h3>Main Personal Projects</h3>
<ul>
<li>
<a href="https://www.linkedin.com/in/daniele-d-avino/overlay/education/854220748/multiple-media-viewer/?profileId=ACoAAAuBNf4Bv3yuFD3V8atLC4286uPUa4eqgmw&treasuryMediaId=1635518320160&lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base%3B4REB0ZwDQFCyRKdXKJmbow%3D%3D" target="_blank" rel="noopener noreferrer">
<strong>Decision Intelligence Application</strong>
</a>
: web application developed for addressing fraud detection and clustering customers. Frontend and backend deployed on GCP with API management.
</li>
<li><strong>Meteo Adverse Classifier:</strong> classification algorithm for predicting climate adverse future condition with Open Data.</li>
<li><strong>Network Analysis Pipeline:</strong> Analysis of submarine telecommunication network via graph theory.</li>
</ul>
</div>
<div class="separator"></div>
<div class="section">
<h3>Main Education & Certifications</h3>
<ul>
<li>
<a href="https://www.linkedin.com/in/daniele-d-avino/overlay/education/854220748/multiple-media-viewer/?profileId=ACoAAAuBNf4Bv3yuFD3V8atLC4286uPUa4eqgmw&treasuryMediaId=1635518899659" target="_blank" rel="noopener noreferrer">
Machine Learning Engineering Curriculum
</a>
at FourthBrain.ai
</li>
<li>
<a href="https://www.credly.com/badges/a78db000-7a61-425e-a27a-a93e2425e488/linked_in_profile" target="_blank" rel="noopener noreferrer">
Google Cybersecurity Certificate
</a>
at Google-Coursera
</li>
<li>
<a href="https://coursera.org/share/f4ffbe4aa1e99fa4ac8527d37cfe5332" target="_blank" rel="noopener noreferrer">
Deep Learning Specialization
</a>
at DeepLearning.AI
</li>
<li>Master degree in Quantitative Finance at Università degli studi di Milano Bicocca</li>
</ul>
</div>
<div class="separator"></div>
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