Patrick Dwyer
Data Scientist with 3 years of experience in cloud-based data engineering and front-end development. Proficient in designing, developing, and maintaining scalable systems across AWS, Azure, Fabric, and GCP. Strong expertise in Python, SQL, Javascript, CSS, HTML, and Terraform, with hands-on experience building data pipelines, machine learning models, containerized applications, CI/CD workflows, interactive web applications & reports, and more. A fast learner with a problem-solving mindset, passionate about practical applications of technology. Google Cloud Certified Professional Machine Learning Engineer.
Experience
Manifold Group:
Data Scientist October 2023 –
Present
- Productionized NLP research code, designing and architecting a scalable solution that reduced runtime from 6 hours to 30 minutes (~92% improvement), enabling faster iteration and broader production use.
- Implemented vector embedding similarity pipelines from inception to production, unlocking the ability for clients to analyze previously opaque free-form text and derive actionable insights.
- Optimized client stored procedures decreasing query time by 99.8% to enable ingestion of > 100GBs of data
- Developed and maintained data pipelines to ingest and process > 1TB of data from a client's database into a data lakehouse in Microsoft Fabric
- Led, designed, and implemented enterprise-level data solutions for a Fortune 500 client using PySpark and Microsoft Fabric
- Worked in a team setting to develop terraform resources and design networking for a data lakehouse architecture on Azure
- Designed and developed anomaly detection application (Python, Docker, AWS EC2)
Websanity:
Web Developer September 2023 –
Present
- Freelance Web Developer for Rulepop, an emerging rules reference platform for tabletop games
- Implmented and maintaining Javascript features on an as needed basis
Schwartz Lab:
Lab Tech July 2023 –
Sep 2023
- Developed supervised 3d Convolutional Neural Network in PyTorch
- Manually labelled 8,544 ground truth 2d points to ensure model accuracy
Projects
cwdmdc.patrickdwyer.com Winter 2025-Present
- Responsive CWD sampling results dashboard built with MDC's public ArcGIS API
This websitepatrickdwyer.com Summer 2023-Present
- Responsive CV website built with industry best practices using vite & vanilla html/css/js
- Integrated offline PWA functionality using vite-pwa-plugin
LLVM Compiler (Class: Compiler Construction) Winter 2022
- Built an LLVM➞Assembly compiler in C++
Education
BA Mathematics, BA
Computer
Science Sep 2019 –
June 2023
- Northwestern University, Evanston, IL
- Weinberg College of Arts and Sciences
- 3.43/4.00 GPA
Notable Coursework
Mathematics
Major GPA: 3.30/4.00
- Optimization
- Graph Theory
- Complex Analysis
- Abstract Algebra
- Chaotic Dynamical Systems
- Probability and Stochastic Processes Sequence
- Linear Algebra and Multivariable Calculus Sequence
Computer Science
Major GPA: 3.51/4.00
- Networking
- Operating Systems
- Compiler Construction
- Programming Languages
- Computer Systems
- Data Structures
- Algorithms
- Advanced Algorithms
- Online Markets
- Social Network Analysis
- Natural and Artificial Vision
- Practicuum in Intelligent Information Systems
- Data Privacy
- Law and Digital Technologies
- Game Design and Development