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JPDucky/resume.json

Last active February 8, 2023 20:27
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resume.json
{
"basics": {
"name": "Palmer Duckworth",
"email": "[email protected]",
"phone": "601-850-9064",
"visible": true
},
"summary": "Highly skilled systems administrator and data scientist with experience in network security, IT project management, and machine learning. Proficient in a range of technical tools and languages, including Python, Bash, and Docker. Proven ability to effectively lead and manage teams, with a strong customer service orientation and a 98.5% satisfaction rating.",
"website": "jpducky.io",
"headline": "",
"location": {
"city": "",
"region": "",
"address": "",
"country": "",
"postalCode": ""
},
"profiles": [
{
"id": "6bfc11a0-6fc0-48d1-a54e-1c3fb492faa8",
"url": "https://github.com/JPDucky",
"network": "GitHub",
"username": "jpducky"
},
{
"id": "bd241f68-67b0-4e86-8596-dcf88aece70e",
"url": "https://www.linkedin.com/in/palmer-duckworth/",
"network": "LinkedIn",
"username": "Palmer-Duckworth"
}
],
"birthdate": ""
},
"sections": {
"work": {
"id": "work",
"name": "Work Experience",
"type": "basic",
"items": [
{
"id": "97d9b9cb-d912-494e-b9cd-eb9883a52fe7",
"url": "",
"date": {
"end": "",
"start": ""
},
"name": "Smyda Woodworking Co.",
"summary": "- Operate woodworking machinery and hand tools such as saws, routers, and sanders to shape and finish pieces, ensuring the quality is to the highest of standards.\n- Assisted the lead cabinetmaker maker in designing and creating custom pieces.\n- Installed finished pieces at client sites, including cabinets, countertops, and other furniture to ensure proper placement and functionality of all pieces",
"position": "Woodworker"
},
{
"id": "20601a63-b761-4532-aaa0-e2b9fb06b158",
"url": "",
"date": {
"end": "",
"start": ""
},
"name": "Netlink Voice",
"summary": "- Led a team of 7 technicians in the installation, maintenance, and repair of telecommunications, networking, and security systems for over 2,000 clients.\n- Worked with executive, engineering, marketing, product, and sales teams to define project scope and deliverables.\n- Oversaw the technical infrastructure of the company, with a focus on network security. Conducted tests, drafted reports, and collaborated with vendors on installations and upgrades.\n- Maintained an inventory management system for 50+ employees.\n\n**Technologies used:** Mikrotik, Grandstream, CentOS, Windows Server\n\n**VoIP:** SIP, RTP, Asterisk\n\n**Networking Protocols:** PPTP, SSTP, L2TP, L2TP/IPSec",
"position": "Client Support Engineer"
}
],
"columns": 1,
"visible": true
},
"awards": {
"id": "awards",
"name": "Awards",
"type": "basic",
"items": [],
"columns": 2,
"visible": false
},
"skills": {
"id": "skills",
"name": "Skills",
"type": "basic",
"items": [
{
"id": "0258b3d7-2318-446a-bd38-5b3d30ace426",
"name": "Systems Administration",
"level": "",
"keywords": [
"• \tProficient in the installation, configuration, and management of various operating systems, including RHEL, CentOS, Debian, and Windows"
],
"levelNum": 0
},
{
"id": "a159e2ef-d108-4e8c-8381-61b08547dfb7",
"name": "Virtualization/Containerization",
"level": "",
"keywords": [
"• Experience working with virtualization and containerization tools, including Proxmox, Virtualbox, VMware, KVM/QEMU, Xen, and LXC",
"• Utilized Proxmox and Virtualbox to set up and manage multiple virtual machines for testing and development purposes",
"• Worked with Docker and Swarm to create and deploy containerized applications, improving scalability and reliability"
],
"levelNum": 0
},
{
"id": "d775657f-cb3e-41c9-ada8-bc455ee4697b",
"name": "Networking",
"level": "",
"keywords": [
"• \tProficient in the use of networking tools and protocols, including Mikrotik/RouterOS, Pfsense, remote management, and VPNs (L2TP/IPSec, OpenVPN, Wireguard)",
"• \tImplemented VPN solutions using OpenVPN and Wireguard to securely connect remote clients to the company network",
"• \tConfigured firewall and access controls using Pfsense to improve network security"
],
"levelNum": 0
},
{
"id": "537da32d-a4fa-455a-9a7b-15b2dcc6e629",
"name": "CI/CD",
"level": "",
"keywords": [
"• \tExperience with continuous integration and delivery (CI/CD) tools and practices, including Docker, Kubernetes, Github, Vagrant, ansible, Terraform, and Linode",
"• \tWorked with a team to set up a CI/CD pipeline using Github, Vagrant, and ansible, automating the deployment process and reducing errors",
"• \tUtilized Terraform to automate the provisioning and management of cloud infrastructure"
],
"levelNum": 0
},
{
"id": "39fab3e6-7bd3-4c38-af71-cf77bd6ab9c2",
"name": "IT Project and End-User Management",
"level": "",
"keywords": [
"• \tExperience in the implementation and deployment of IT projects, including managing budgets, schedules, and resources",
"• \tWorked in a NOC (Network Operations Center) environment, monitoring systems and responding to alerts and issues as they arise",
"• \tStrong customer service skills and ability to effectively communicate technical concepts to non-technical stakeholders"
],
"levelNum": 0
},
{
"id": "78358e00-4e5a-44da-abb6-cb496b1493dc",
"name": "Coding/Scripting Languages",
"level": "",
"keywords": [
"• \tProficient in a range of coding and scripting languages, including Bash, Python, Node.js, JSON, SQL, PHP, HTML, CSS, and VBA",
"• \tExperience using Python and Bash to automate tasks and improve efficiency",
"• \tUtilized SQL to query and analyze data from databases",
"• \tExperience building and maintaining websites using PHP, HTML, and CSS"
],
"levelNum": 0
}
],
"columns": 1,
"visible": true
},
"projects": {
"id": "projects",
"name": "Projects",
"type": "basic",
"items": [],
"columns": 2,
"visible": false
},
"education": {
"id": "education",
"name": "Education",
"type": "basic",
"items": [
{
"id": "08308e05-2da7-44c6-a6a4-aa1c49536cc5",
"url": "",
"area": "Petroleum Engineering",
"date": {
"end": "",
"start": ""
},
"score": "",
"degree": "Bachelor of Science",
"courses": [],
"summary": "",
"institution": "Louisiana State University"
},
{
"id": "21bb4c52-4395-457b-b796-623dcb451b0a",
"url": "",
"area": "Mandarin Chinese",
"date": {
"end": "",
"start": ""
},
"score": "",
"degree": "Minor",
"courses": [],
"summary": "",
"institution": " Louisiana State University"
}
],
"columns": 1,
"visible": true
},
"interests": {
"id": "interests",
"name": "Interests & Hobbies",
"type": "basic",
"items": [
{
"id": "e628f06a-680f-41da-8ab3-cc4af705d3fb",
"name": "Homelab",
"keywords": [
"Multi-Site/Multi-Cloud Infrastructure",
"File Storage and Sharing",
"Media Server",
"Home Automation Server",
"Grafana for Usage Statistics",
"Web Hosting"
]
},
{
"id": "f43c3d12-22a9-4197-af4b-2aa92acaf4f3",
"name": "Woodworking",
"keywords": [
"Indoor Furniture",
"Outdoor Furniture",
"Restore Antique Furniture",
"and I have made all my own furniture"
]
},
{
"id": "3d2d911d-e73b-4448-9965-8d48fe5d4073",
"name": "Welding and Metalwork",
"keywords": [
"Restoring Vehicles",
"Restoring the Structural Integrity of Vehicle Chassis",
"Metal Sculpture"
]
}
],
"columns": 1,
"visible": false
},
"languages": {
"id": "languages",
"name": "Languages",
"type": "basic",
"items": [
{
"id": "378cb5a6-ed51-4844-92a5-ca2993b9ed6d",
"name": "English",
"level": "Fluent (Native)",
"levelNum": 0
},
{
"id": "074476c1-95f6-4fde-9721-159b5cd21422",
"name": "Spanish",
"level": "Proficient (Native)",
"levelNum": 0
},
{
"id": "a36170cc-be27-49be-b327-30e0e4ce92fb",
"name": "Mandarin Chinese",
"level": "Working Knowledge (HSK 3)",
"levelNum": 0
}
],
"columns": 1,
"visible": true
},
"volunteer": {
"id": "volunteer",
"name": "Volunteer Experience",
"type": "basic",
"items": [],
"columns": 2,
"visible": false
},
"references": {
"id": "references",
"name": "References",
"type": "basic",
"items": [
{
"id": "52e59b56-f07b-4c59-8998-41948f7c8395",
"name": "Mosam (Moe) Patel",
"email": "[email protected]",
"phone": "601-608-8966",
"summary": "Director of Technology, Netlink Voice",
"relationship": "Manager"
},
{
"id": "a62a8b67-2d7f-41e0-bfcc-dd5ced87f7e6",
"name": "David Russell",
"email": "[email protected]",
"phone": "601-982-3444",
"summary": "President, McGowan Working Partners, Inc.",
"relationship": "Previous Employer"
}
],
"columns": 2,
"visible": false
},
"publications": {
"id": "publications",
"name": "Publications",
"type": "basic",
"items": [],
"columns": 2,
"visible": false
},
"certifications": {
"id": "certifications",
"name": "Certifications",
"type": "basic",
"items": [
{
"id": "d2f7cff1-7e4f-4b15-ac8a-fe73a8b21dbd",
"url": "",
"date": "",
"name": "Linux+",
"issuer": "CompTIA",
"summary": ""
},
{
"id": "474d4212-f615-48cc-a8f9-18ad114c48d2",
"url": "",
"date": "",
"name": "Data Scientist: Machine Learning Specialist",
"issuer": "codecademy",
"summary": "*in-progress*"
}
],
"columns": 1,
"visible": true
},
"ad34fc37-c053-49e7-9993-dcb94ceb29c9": {
"name": "Professional Training",
"type": "custom",
"items": [
{
"id": "c70da2aa-7659-48c9-bfb2-4c8377637ec3",
"url": "",
"date": {
"end": "",
"start": ""
},
"level": "",
"title": "Machine Learning Mastery by Dr. Jason Brownlee",
"summary": "### Lessons/Modules Completed:\n- Deep Learning for Computer Vision\n- Image Classification, Object Detection, and Face Recognition n Python\n- Time Series Forecasting with Python\n- How to Prepare Data and Develop Models to Predict the Future\n- Long Short-Term Memory Networks with Python\n- Develop Sequence Prediction Models with Deep Learning\n- Deep Learning for Natural Language Processing\n- Develop Deep Learning Models for Natural Language in Python",
"keywords": [],
"levelNum": 0,
"subtitle": "Self-study in progress"
}
],
"columns": 1,
"visible": false
},
"d99542d0-a427-4cc0-a965-e0d15a183afe": {
"name": "Undergraduate Research",
"type": "custom",
"items": [
{
"id": "0372f589-6fe0-4ec1-a194-567c591f2388",
"url": "",
"date": {
"end": "",
"start": ""
},
"level": "",
"title": "Louisiana State University",
"summary": "### Analyzed the efficacy of multiple modern data analysis techniques, both with and without machine learning, in the prediction and modeling of oil well production, and compared them to more traditional methods of analysis; discovering potential robust and accurate models for future use:\n\n- Analyzed the performance of classical analysis techniques including Monte Carlo Analysis, Production Decline Curves, and the Runge-Kutta/Mass Balance Equations\n- Performed Exploratory Data Analysis on multiple data sources and performed data transformations to create a data set usable for machine learning algorithms\n- Used Principal Component Analysis for dimensional reduction alongside vector auto-regression\n- Created instructive graphics to effectively convey results using Seaborn and Matplotlib libraries\n- Discovered that a multivariate LSTM Recurrent Neural Network is able to accurately predict oil well production with drastically less error than conventional methods\n- Confirmed model's ability to be economically useful in production prediction outputs\n- Demonstrated the effectiveness of an LSTM model and Exploratory Data Analysis on summed field injection and production data, verified results to me accurate to an order of magnitude greater than conventional methods\n",
"keywords": [],
"levelNum": 0,
"subtitle": "Results Published on GitHub"
}
],
"columns": 1,
"visible": false
}
},
"metadata": {
"css": {
"value": "/* Enter custom CSS here */\n\n* {\n outline: 1px solid #000;\n}",
"visible": false
},
"date": {
"format": "MM/YYYY"
},
"theme": {
"text": "#000000",
"primary": "#03a9f4",
"background": "#ffffff"
},
"layout": [
[
[
"work",
"education",
"languages",
"projects",
"volunteer"
],
[
"skills",
"certifications",
"awards",
"publications"
]
],
[
[
"d99542d0-a427-4cc0-a965-e0d15a183afe",
"ad34fc37-c053-49e7-9993-dcb94ceb29c9",
"references"
],
[
"interests"
]
]
],
"locale": "en",
"template": "leafish",
"typography": {
"size": {
"body": 16,
"heading": 24
},
"family": {
"body": "Atkinson Hyperlegible",
"heading": "Racing Sans One"
}
},
"page": {
"format": "Letter"
}
},
"public": true
}
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