# Jarrett Devereaux Tempe, AZ | [github.com/jarrettdev](https://github.com/jarrettdev) ## Professional Summary [AWS Certified Data Engineer](https://www.credly.com/badges/6b5376b0-2fb0-4340-bdd8-539d641c18d1) with hands-on experience in full-stack development, ETL pipelines, and data analysis. Combining academic knowledge in data science with practical projects and freelance work. Seeking a challenging data engineering role to apply and expand skills in Python, AWS, and database technologies. ## Skills - Programming Languages: Python, JavaScript, SQL, Bash - Databases: MongoDB, PostgreSQL - Cloud Technologies: AWS (Kinesis, EC2, EMR, S3, RDS, Lambda, Redshift, Glue) - Web Technologies: Vue.js, Nuxt.js, Node.js - Data Engineering: ETL/ELT pipelines, data warehousing, processing - Data Science: Pandas, NLTK, spaCy, Machine Learning, Data Analysis - Other: Web Scraping, API Development, Full-Stack Development ## Projects **[[RedditPulse]] | [Live Demo](https://reddit-pulse-2.vercel.app/)** - Developed a full-stack web application for real-time Reddit engagement analysis - Implemented innovative data collection system using browser extensions and Xvfb to bypass anti-bot measures - Utilized MongoDB for data storage and Nuxt.js for server-side rendering - Applied SARIMAX models for user engagement forecasting and NLP for entity extraction - Created interactive visualizations using Chart.js to display engagement trends and statistics **[[Noshade.Vision]] | [Live Demo](https://www.noshade.vision/youtube-summaries/TED/How-AI-Could-Save-(Not-Destroy)-Education-%7C-Sal-Khan-%7C-TED-nsv_id-3)** - Built a YouTube video summarization platform using AWS serverless architecture - Implemented DynamoDB with streams for real-time updates to Algolia search index - Utilized AWS Lambda for serverless processing and Next.js for the frontend - Developed a custom YouTube data scraper for efficient content extraction and summarization - Designed and implemented an ETL pipeline to process and store YouTube video data - Created a responsive web interface for users to search and view video summaries **[[Man-In-The-Middle Scraping System]]** - Developed a sophisticated web scraping solution for dynamically loaded content, combining browser automation and MITM proxy techniques - Utilized Chrome extensions, Xvfb, Python, and Bash scripting for headful, server-side scraping operations - Implemented MITM proxy to intercept and process XHR requests in real-time, enabling extraction of lazy-loaded data - Created a flexible system adaptable to various platforms (e.g., social media, e-commerce, news sites) - Successfully extracted and processed millions of data points from YouTube comments, demonstrating system's scalability ## Experience **Freelance Software Engineer / Data Scientist | Upwork** June 2020 - June 2023 - Achieved a 100% job satisfaction score and numerous 5-star reviews - Developed ETL/ELT pipelines for startup clients, improving data processing efficiency by 40% - Created advanced web scrapers using Node.js, Puppeteer, and proxy rotation, processing 1M+ data points daily - Conducted data analysis using Python, providing actionable insights that increased client revenue by 15% - Designed and implemented scripts for data insertion into PostgreSQL databases, handling 5GB+ of data daily ## Education **Arizona State University** B.S. in Data Science Expected Graduation: May 2025 Relevant Coursework: Data Structures & Algorithms, Design and Analysis of Algorithms, Statistical Modeling & Inference, Deep Learning Structures, Foundations of Machine Learning, Intro to Artificial Intelligence, Information Assurance ## Certifications AWS Certified Data Engineer - Associate Issued: August 2024