Software Developer · Data Engineer · Data & Cloud Systems
I'm Noha, a developer and data professional based in Houston with an M.S. in Computer Science.
I enjoy building software, working with data-intensive systems, and solving problems across the application and data layers, from designing APIs and debugging application behavior to cleaning, integrating, and transforming complex datasets.
My experience spans software development, data engineering, analytics, and machine learning, with projects involving full-stack applications, REST APIs, relational databases, ETL workflows, master data management, and cloud-based services.
I'm especially interested in backend and full-stack development, data engineering, cloud systems, healthcare technology, and applied AI.
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Languages & Frameworks: C# · Java Concepts: REST APIs |
Working with: Python · SQL Concepts: ETL & Data Pipelines |
Cloud & Dev Tools: AWS Analytics & ML: Power BI |
Building a provider master data system that integrates records from simulated EHR, HR, and credentialing systems using CMS NPPES data.
The project focuses on ingestion, standardization, record matching, data quality, and creating reliable provider golden records across disconnected source systems.
Python SQL Pimcore Docker ETL Data Quality MDM
Built a full-stack TypeScript application that retrieves and serves astronomy content using NASA's APOD API.
Worked across the frontend/backend integration, REST API requests, application state, debugging, and deployment.
TypeScript React Node.js REST APIs Full Stack
Built an accessibility-focused application that combines OCR, AI, and a web interface to extract conversations from images and generate adaptive language-learning support.
TypeScript React OCR AI APIs
Developing an end-to-end machine learning workflow using NHANES healthcare data, including dataset integration, preprocessing, feature engineering, predictive modeling, and model evaluation.
Python pandas Machine Learning Healthcare Data Data Engineering
Built a data analysis workflow for New Jersey education datasets to identify and compare Title I schools, districts, enrollment patterns, and geographic trends.
Python pandas Data Analysis Data Visualization
I enjoy understanding how systems work end to end not just writing code, but figuring out how applications, APIs, databases, data pipelines, and infrastructure interact.
I'm comfortable learning unfamiliar technologies, debugging problems methodically, collaborating through Git-based workflows, and asking questions when I need more context.
I'm especially motivated by environments where I can continue developing as an engineer while contributing to real systems and taking on increasingly complex technical problems.
Thanks for stopping by ☁️
