david Sorensen

(240) 855-4536 · david-p-sorensen@proton.me · linkedin.com/in/david-p-sorensen · github.com/david-p-sorensen

I'm a Computer Science, Mathematics, and Economics triple major at the University of Maryland. I intend on graduating in May of 2027 with the math and economics coursework needed for a Masters/PhD in Economics, as well as highly employable skills in data science and programming. I currently have work experience in IT and Software Development, and personal project experience in Data Science, AWS, Azure, and Windows networking.

Education

University of Maryland, College Park

Bachelor of Science in Computer Science and Mathematics
Bachelor of Science in Economics
GPA: 3.8

Deans List

Expected May 2027

The Avalon School

GPA: 4.7

Valedictorian

September 2019 - May 2023

Skills

Coursework

Object-Oriented Programming, Systems Programming, Higher-Order Programming, Data Science, Machine Learning, Probability Theory, Data Structures, Algorithms, Microeconomic and Macroeconomic Principles and Analysis, Multivariable Calculus, Linear Algebra, Differential Equations, Logic and Proofs

Programming Languages

Java, Python, R, SQL, C#, C, x86 Assembly, OCaml, Rust, Ruby, HTML/CSS/JavaScript, MATLAB

Developer Tools

AWS, Azure, Git, Jupyter, VS Code, Eclipse, Jira, Excel

Libraries

Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Pytorch, Shiny, OpenAI API

Certifications

AWS Certified Cloud Practitioner

Experience

IT Student Worker

University of Maryland · College Park, MD
  • Managed daily operations of 1,700+ Jira tickets spanning device onboarding, network diagnostics, printer support, event assistance, and infrastructure maintenance
  • Provided hands-on technical support through multiple channels including phone consultations, walk-in assistance, and scheduled appointments
  • Developed user-focused documentation through instructional videos and website improvements to enhance self-service capabilities
June 2024 - Present

AI Software Developer Intern

Intellectmap · Rockville, MD
  • Facilitated a transition from reliance on OpenAI to leveraging open-source large language models for the company chatbot, enhancing privacy and removing API usage fees
  • Embedded company-specific data into the chatbot using retrieval augmented generation, ensuring tailored and dynamic responses for users
  • Created an automated mapping system using extensive C# and Excel functions to convert geographic data into coordinates on customizable map projections
August 2023 - June 2024

Math Tutor

The Avalon School · Wheaton, MD
  • Tutored over 50 high-schoolers, enabling them to avoid retaking math courses
July 2021 - July 2023

Projects

Location Quotient Visualization

Mapping Industry Concentration with LinkedIn Job Data

  • Developed an automated data pipeline using Python and the OpenAI API to process and classify 124,000+ jobs posted on LinkedIn, achieving granular industry and ownership categorization across all U.S. states
  • Engineered and maintained a comprehensive Excel dataset containing 9,000+ data points tracking state-level employment metrics and industry concentration parameters
  • Built an interactive web application in R using Shiny and Plotly libraries to create dynamic heat maps with custom color scaling and hover-based state analytics
AWS Cloud Resume

Building and Hosting this Website through AWS

  • Built static website using HTML, CSS, and JavaScript, hosting it with an Amazon S3 bucket
  • Deployed the website as a CloudFront distribution, using an HTTPS protocol, and created an alternate domain name using Route 53
  • Created a DynamoDB table to track the number of website views which gets updated with a Lambda function written in Python and is displayed on the website using JavaScript
  • Implemented Infrastructure as Code with Terraform for programmatic access to the AWS console
  • Maintain CI/CD by pushing changes to the website with GitHub
Azure Sentinel Honeypot

Azure Sentinel Honeypot SEIM

  • Used custom PowerShell script to extract metadata from Windows Event Viewer to be forwarded to third party API that derives geolocation data
  • Configured Log Analytics Workspace in Azure to ingest custom logs containing geographic info
  • Configured Custom Fields in Log Analytics Workspace with the intent of mapping this data in Sentinel
  • Configured Azure Sentinel (Microsoft's cloud SIEM) workbook to display global attack data (RDP brute force) on world map according to physical location and magnitude of attacks
Active Directory Home Lab

Active Directory Home Lab

  • Simulated a Windows networking environment used by organizations by housing Active Directory on a virtual machine as a domain controller
  • Created two network adaptors on domain controller for the internet and internal clients
  • Assigned IP addressing, configured NAT, routing, and DHCP for the internal server
  • Created 1,000 users on the internal server with a PowerShell script
  • Connected another virtual machine to the internal server and logged in as one of the users