End to End Reddit Data Engineering/Analysis Pipeline
Built a pipeline that extracts, transforms, loads and analyses data from the 'vegan' subreddit using the Reddit API to a MySQL database using AWS S3, Lambda (Python), and RDS.
Shalom O is a Data Engineer with several years of experience in data-driven technologies and machine learning across healthcare, neurotechnology, and social media sectors. Proficient in Python, MATLAB, Java, and PyTorch, Shalom develops data pipelines, machine learning models, and mobile applications. He utilizes AWS services such as S3, Lambda, and RDS for building scalable data engineering solutions and employs tools like Bash scripts and Selenium for data analysis and web scraping. At the University of Maryland, Shalom engineered a pipeline to create a dataset of over 5 million COVID-19-related tweets, using Python and Bash scripts. He also developed a machine learning model at Duke University to enhance speech intelligibility for cochlear implant users, contributing to a NeurIPS 2025 publication. Shalom holds a Bachelor of Science in Computer Science from Howard University. He is well-suited for roles that involve complex data engineering projects and the integration of machine learning in healthcare and social media analytics.
Built a pipeline that extracts, transforms, loads and analyses data from the 'vegan' subreddit using the Reddit API to a MySQL database using AWS S3, Lambda (Python), and RDS.
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