I am a graduate student at NYU studying Computer Engineering, seeking opportunities in Product Management, Data Analytics, and Business Analysis.
Projects focus on public health datasets, statistical analysis, and interactive dashboards completed during coursework and a TruBridge externship.
.jpeg)
TruBridge · Mar 2026 · ✅ Verified by Extern
A TruBridge externship in healthcare data analytics focused on working with public health datasets, statistical analysis, and interactive dashboards.
Built an ITGC control-testing platform automating segregation-of-duties, terminated-user-access, and change-management audit tests with SQL-based rule engines, risk-based sampling, and an LLM-generated audit workpaper draft/review workflow
Built a full-stack AI video editing pipeline that transcribes and scores footage to auto-generate a rough cut, cutting personal editing time from 6+ hours to under 2 hours — combines faster-whisper transcription, LLM-based segment scoring (Claude API) against target length/theme, and a constraint-based selection algorithm, with dual export to Final Cut Pro (FCPXML) or a custom React drag-and-trim timeline editor.
Developed a full-stack data engineering pipeline ingesting SEC EDGAR XBRL 10-K filings into a RESTful FastAPI backend with SQLite — implemented idempotent ETL ingestion via INSERT OR IGNORE constraints, engineered a multi-key schema resolver handling inconsistent third-party API responses, and deployed to cloud infrastructure on Railway with automated startup ingestion.
Deployed a model as a Hugging Face Space that reads excerpts from a company's annual report (10-K) and predicts whether forward stock-price volatility will increase relative to its historical baseline
I am a graduate student at NYU studying Computer Engineering, seeking opportunities in Product Management, Data Analytics, and Business Analysis.
I am Moosa Irfaan, a fourth-year Computer Science student working toward a bachelors degree. I have some practical experience, including a TruBridge externship in healthcare data analytics where I analyzed public health datasets and built interactive dashboards.
Externships
TruBridge Healthcare Data Analytics Externship
Completed · Mar 2026
Experience
Software Engineer (Founding Engineer)
VERRI LABS INC. · JUNE 2026 - PRESENT
Software Engineer Intern
PEOPLE TIME · JAN 2025 - JUNE 2025
Web Developer
FRED SILVER & COMPANY · NOV 2024 - JAN 2025
Education
NEW YORK UNIVERSITY
Masters of Science in Computer Engineering
ST. JOSEPH’S UNIVERSITY, NEW YORK
Bachelors of Science in Computer Science and Mathematics · Class of 2026
Skills
✅ Verified by Extern
A TruBridge externship in healthcare data analytics focused on working with public health datasets, statistical analysis, and interactive dashboards.
The work defined and investigated public-health questions using multiple public datasets, Python analysis, and AI-assisted dashboarding. Deliverables included cleaned datasets, statistical models, visualizations, a hosted dashboard link, and a recorded presentation. The work was awarded Top Performer by TruBridge.
I produced cleaned and documented datasets, ran exploratory and statistical analyses (including logistic regression and tree models), built an interactive dashboard with AI assistance, and recorded a presentation that walked through methods and findings.
Built an ITGC control-testing platform automating segregation-of-duties, terminated-user-access, and change-management audit tests with SQL-based rule engines, risk-based sampling, and an LLM-generated audit workpaper draft/review workflow
Built a full-stack AI video editing pipeline that transcribes and scores footage to auto-generate a rough cut, cutting personal editing time from 6+ hours to under 2 hours — combines faster-whisper transcription, LLM-based segment scoring (Claude API) against target length/theme, and a constraint-based selection algorithm, with dual export to Final Cut Pro (FCPXML) or a custom React drag-and-trim timeline editor.
Developed a full-stack data engineering pipeline ingesting SEC EDGAR XBRL 10-K filings into a RESTful FastAPI backend with SQLite — implemented idempotent ETL ingestion via INSERT OR IGNORE constraints, engineered a multi-key schema resolver handling inconsistent third-party API responses, and deployed to cloud infrastructure on Railway with automated startup ingestion.
Deployed a model as a Hugging Face Space that reads excerpts from a company's annual report (10-K) and predicts whether forward stock-price volatility will increase relative to its historical baseline