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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>Ramon Sanchez - Resume</title>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css">
<style>
body {
font-family: Georgia, sans-serif;
background-color: #f8f9fa;
}
.container {
margin-top: 50px;
background-color: #fff;
padding: 30px;
border-radius: 10px;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
}
h1 {
color: #343a40;
text-align: center;
font-size: 30px;
}
h2 {
color: #343a40;
font-size: 18px;
font-weight: bold;
}
h3 {
color: #343a40;
font-size: 16px;
font-weight: bold;
}
p {
color: #495057;
text-align: center;
}
li {
color: #495057;
}
hr {
border: 1px solid black; /* Black separator line */
text-align: center;
color: #343a40;
}
.row {
display: flex;
justify-content: space-between;
border-radius: 10px;
}
.left-align {
text-align: left;
}
.right-align {
text-align: right;
}
</style>
</head>
<body>
<div class="container">
<h1><b>Ramon Sanchez Penaloza</b></h1>
<p>Email: ramonj.snchz@gmail.com | Phone: (669) 758-1752 |
LinkedIn: <a href="https://www.linkedin.com/in/ramon-sanchez-penaloza/" target="_blank">linkedin.com/in/ramon-sanchez-penaloza</a></p>
<hr style="width:90%">
<h2>Education</h2>
<div style="display: flex; justify-content: space-between;">
<span style="text-align: left;"><h3>San Jose State University</h3></span>
<span style="text-align: right;">San Jose, CA</span>
</div>
<div style="display: flex; justify-content: space-between; line-height:0.5">
<span style="text-align: left;">M. S. in Industrial and Systems Engineering</span>
<span style="text-align: right;">01/2023 – 12/2024</span>
</div>
<ul style="margin-top: 10px;line-height: 1.5">
<li>Relevant Coursework: Advanced Operations Research, Design and Analysis of Engineering
Experiments, Analytics for Systems Engineers, Financial Methods for Engineers, Quality Assurance
and Reliability.</li>
</ul>
<div style="display: flex; justify-content: space-between;">
<span style="text-align: left;"><h3>Universidad Aeronautica en Queretaro</h3></span>
<span style="text-align: right;">Queretaro, Mexico</span>
</div>
<div style="display: flex; justify-content: space-between; line-height:0.5">
<span style="text-align: left;">B. S. in Aeronautical Manufacturing Engineering</span>
<span style="text-align: right;">09/2015 – 04/2020</span>
</div>
<hr style="width:90%">
<h2>Skills</h2>
<ul>
<li><strong>Software:</strong> SolidWorks (CSWA), Minitab, AutoCAD, CATIA, MATLAB, ProModel, SIMIO, R Studio, Jira, Python (OpenCV, TensorFlow, Scikit-Learn), Microsoft Excel (Pivot Tables, Macros).</li>
<li><strong>Tools and Methodologies:</strong> Lean Six Sigma, SPC (Control Charts, Process Capability Analysis), Root Cause Analysis (5 Whys, Cause and Effect Diagram), FMEA, DEO, Eight Disciplines, Quality Management Systems (ISO9001, AS9100).</li>
</ul>
<hr style="width:90%">
<h2>Experience</h2>
<div style="display: flex; justify-content: space-between;">
<span style="text-align: left;"><h3>Monarch Tractor</h3></span>
<span style="text-align: right;">Livermore, CA</span>
</div>
<div style="display: flex; justify-content: space-between; line-height:0.5">
<span style="text-align: left;">Quality Engineering Intern</span>
<span style="text-align: right;">06/2023 – 08/2023</span>
</div>
<ul style="margin-top: 10px;line-height: 1.5">
<li>Developed and implemented a new incoming inspection procedure that resulted in a 100% increase in defect detection,
significantly enhancing product quality.</li>
<li>Defined priorities and managed daily operations within the incoming inspection area, ensuring optimal process efficiency and
streamlined workflow.</li>
<li>Collaborated with cross-functional teams to perform root cause analyses of quality issues; implemented and followed up on
Corrective and Preventive Actions (CAPA), leading to a reduction in overall defect recurrence.</li>
<li>Facilitated the development and tracking of Supplier Corrective Action Requests (SCAR) based on incoming inspection
findings, which led to improved supplier compliance and decreased defect rates in subsequent shipments.</li>
<li>Utilized training in Geometric Dimensioning and Tolerancing (GD&T) to develop and implement effective inspection
methods, resulting in improved measurement accuracy.</li>
</ul>
<div style="display: flex; justify-content: space-between;">
<span style="text-align: left;"><h3>Safran Aircraft Engines</h3></span>
<span style="text-align: right;">Queretaro, Mexico</span>
</div>
<div style="display: flex; justify-content: space-between; line-height:0.5">
<span style="text-align: left;">Project Engineering Intern</span>
<span style="text-align: right;">06/2019 – 04/2020</span>
</div>
<ul style="margin-top: 10px;line-height: 1.5">
<li>Led a DMAIC project that successfully reduced costs in a CNC machining operation, resulting in a 50% increase in
profitability.</li>
<li>Collaborated with lead engineers to implement statistical process control tools, effectively identifying and reducing process
variability, which achieved a 10% improvement in first-time yield.</li>
<li>Executed process changes in strict alignment with PPAP requirements, ensuring adherence to quality and regulatory standards.</li>
<li>Owned process documentation, including SOPs, work instructions, and BOMs, ensuring change traceability and compliance.</li>
<li>Participated in cross-functional teams utilizing the 8D methodology to systematically address and resolve production issues,
contributing valuable insights that enhanced process stability and minimized recurrence of issues.</li>
<li>Engaged in FMEA sessions with multidisciplinary teams to proactively identify potential failure modes, assess their impact
on process performance, and plan effective mitigation strategies that enhanced process reliability.</li>
</ul>
<h3>San Jose State University - Graduate Research Assistant (02/2023)</h3>
<ul>
<li>Designed and implemented an automated rendering pipeline using Python and Blender to produce large-scale photorealistic images of manufacturing processes.</li>
<li>Conducted quality checks on synthetic images for deep learning object detection models.</li>
</ul>
<hr style="width:90%">
<h2>Projects</h2>
<h3>AI-Driven Vision Inspection System for Defect Detection</h3>
<p>Developed a computer vision inspection system utilizing deep learning techniques to detect defects in silicon wafers, improving manufacturing quality control processes.</p>
</div>
</body>
</html>