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index.html
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<!DOCTYPE html>
<html>
<head>
<title>ACW</title>
<meta charset='utf-8'>
<link rel='stylesheet' href='style.css'>
</head>
<body>
<div id='header'>
<h1 class='info' align='center'>Andrew Colten Warner</h1>
<p class='info' align='center'>(484) 467-3054</p>
<p class='info' align='center'>[email protected]</p>
<p class='info' align='center'>[email protected]</p>
</div>
<div id='education'>
<h2 class='section_header'>Education</h2>
<p><b>The Pennsylvania State University | Schreyer Honors College</b></p>
<p><i>College of Engineering</i>, Bachelor of Science in Computer Engineering</p>
<p><i>Eberly College of Science</i>, Masters of Applied Statistics</p>
</div>
<div id='skills'>
<h2 class='section_header'>Skills and Abilities</h2>
<ul>
<li>Programming Languages: Python (2.*, 3.*), SQL, JavaScript, HTML/CSS, R, MATLAB, C, C++</li>
<li>Distributed Computation: Kubernetes and Docker for Containerization, Apache Spark and TensorFlow </li>
<li>Cloud Computing: Google Cloud for High Performance Computing and AWS for High Capacity Data Storage</li>
<li>Machine Learning Infrastructure Engineering: TensorFlow, TensorFlow Probability, Theano, CUDA and OpenCV</li>
<li>Statistical Analysis Tools: Time Series Analysis Frameworks in R (gmwm, astsa) and Statistical Analysis (SAS and Minitab)</li>
</ul>
</div>
<div id='work'>
<h2 class='section_header'>Work Experience</h2>
<h3>BlackRock, Inc</h3>
<p><i>Summer Data Analyst</i></p>
<ul>
<li>Navigated archives of financial transaction and customer interaction records to develop a semi-supervised approach to segmenting independent financial advisors and large institutional clients based on purchasing trends and CRM behavior analysis</li>
<li>Aided my small data science team in the development of standardized libraries for both importing and processing data from internal databases and distributing computations across Kubernetes clusters with an Apache Spark framework</li>
<li>Participated in the BlackRock Summer Hackathon where I worked with other interns to develop an application for monitoring the health of core BlackRock Aladdin systems through accessing APIs requiring various internal networks</li>
</ul>
<h3>Bose Corporation</h3>
<p><i>Machine Learning Infrastructure Engineer</i></p>
<ul>
<li>Designed a machine learning model and training schedule for removing unwanted environmental noise from speech samples and enhancing the overall quality of human speech for usage in the Bose HearPhones conversation enhancing headphones.</li>
<li>Reduced overhead network training costs while enhancing overall efficiency through robust distributed TensorFlow, organizeddelegation of tasks across multiple GPU clusters and utilization of Google Cloud storage and training</li>
<li>Implemented a generative adversarial network (GAN) to gauge the effectiveness of a denoising model using a deep residual recurrent neural network (RNN) against a convolutional neural network (CNN) that detects noise in speech spectrograms</li>
<li>Practiced signal processing and time series analysis first hand at the world’s leading consumer headphone and speaker company by attending various training sessions hosted by employees and meeting with various machine learning researchers</li>
</ul>
<h3>Chute Laundry</h3>
<p><i>Lead Software Engineer</i></p>
<ul>
<li>Envisioned and implemented the data pipeline for imaging, storing, classifying, and presenting customer’s clothing data</li>
<li>Deployed dozens of self-designed and self-built Raspberry Pi camera units to laundry facilities in New York and Philadelphia</li>
<li>Wrote the entire data labeling and machine learning pipeline for both classifying user clothing and tagging specific attributes</li>
<li>Designed and developed the frontend application for the Digital Wardrobe that displays user wearing trends and laundry status</li>
</ul>
</div>
<div id='research'>
<h2 class='section_header'>Research</h2>
<h3>Artificial Intelligence Labs (Natural Language Processing)</h3>
<p><i>Developer and Research Assistant</i></p>
<ul>
<li>Assembled a patent pending algorithm, EDUA, for assessing the content quality of student written essays and summaries</li>
<li>Launched a full-stack application to be used at Natural Language Processing conferences around the world to replace the industry standard with EDUA, a new dynamic and robust algorithm for scoring machine generated passages</li>
<li>Published two algorithms in Natural Language Processing conferences, Association for Computational Linguistics (ACL) and Language Resources and Evaluation Conference (LREC) and CLIEDE</li>
</ul>
</div>
<div id='clubs'>
<h2 class='section_header'>Leadership and Involvement</h2>
<h3>Nittany Data Labs</h3>
<p><i>Cofounder, Vice President and Director of Training</i></p>
<ul>
<li>Provided students from diverse academic backgrounds with the resources to learn more about the field of Artificial Intelligence</li>
<li>Designed a full training program that strengthens students programming abilities, introduces students to various problems and how to solve them with data driven solutions, and offers students unique opportunities to learn how to communicate analytics</li>
<li>Fostered a creative environment for students to propose various projects and learn the skills for using data analytics in practical environments such as consulting, API development, finances, and predictive modeling </li>
</ul>
</div>
</body>