> Data Engineer
Turning messy data into pretty pipelines.
I build systems that turn messy data into decisions. Currently completing my MS in Data Analytics & Visualization at Morgan State, with a Cornell University CS foundation and real production experience across pipelines, dashboards, and automation. I'm not looking for just any analytics role, I'm building toward engineering leadership at the intersection of AI, data, systems, and scale.
Streamlit app that cleans uploaded CSV and Excel files by standardizing column names, removing empty rows, flagging missing values and duplicate records, and exporting a cleaned workbook with a data quality summary. Built as a public, sanitized version of a larger reporting automation workflow from my internship.
ML app that predicts whether a Sephora product is safe to add to your skincare routine. Gradient Boosting + VADER sentiment on 1M+ reviews across 2,400 products.
WhatsApp-based training system for dairy farm milkers. Flip cards with EN/ES audio, Airtable backend, automated certificate delivery, deployed for real farm workers.
Replicated key experiments from Brigato & Iocchi (2020) on CNN performance under data scarcity. Found augmentation hurts at N=10 on Fashion-MNIST — an interesting exception the paper noted but didn't emphasize.
Personal budgeting web app with secure sign-in. Track income and expenses, categorize spending, and see where the money actually goes.
Web app for tracking coursework and grades across your classes, so you always know where you stand and what still needs doing.
Work breakdown structure builder for a project management class — turn a project scope into a structured, decomposed hierarchy of deliverables and tasks.