PitchPrep
AI presentation coach · OU Hackathon 2026
24-hour build. A Flask service streams speech-to-text through OpenAI and returns pacing, tone, and filler-word metrics to a live dashboard.
- Python
- Flask
- OpenAI
Available · Graduating May 2026
Ghulam Ali Doulat.
Data engineer. Grad student at the University of Oklahoma. I build the pipelines that sit behind the dashboards people actually open.
- 90%pipeline speedup
- 200+students mentored
- 4.00grad GPA
/ Work
Where I'm spending my hours.
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Data Engineer Intern · INTEGRIS Health
Scaled daily ingestion from UKG Pro WFM → Azure Data Factory → Power BI for enterprise-wide productive-hours reporting. Rewrote pipelines to cut runtime 90% (11 min → 1 min 4 sec) and per-run costs ~87%. Published a reusable UKG Pro API integration to the vendor's dev community.
- Azure Data Factory
- SQL Server
- Power BI
- REST APIs
-
Ops Analyst, AI Focus · OU Residence Life
Built a GPT-powered assistant that handles routine student and staff inquiries — saving ~10 hours/week of manual support. Designed Tableau dashboards that trimmed planning cycles ~15% and lifted scheduling efficiency ~30%.
- OpenAI API
- Python
- Tableau
-
Graduate TA · OU Price College, MIS
Mentored 200+ undergrads in SQL, Python, and Excel (VBA / pivot tables). Ran office hours and code reviews on technical assignments.
- SQL
- Python
- Excel / VBA
/ Projects
Things I've built on my own.
Esports Insights
Sponsorship analysis dashboard
Cleaned and modeled esports data to surface sponsor-fit, audience reach, and genre momentum for publishers and brands.
- Python
- SQL
- Data Viz
Backend
private
Payment Scheduling
Backend for an employee scheduling tool · 5,794+ users
Flask backend with a global holiday calendar and REST endpoints consumed by a React frontend. Fixed protocol-loop errors that were breaking the payment flow.
- Python
- Flask
- REST
Job Shop Accounting
Java OOP system
Models a small job-shop workflow — tracking jobs, costs, and invoicing with clean class design and simple reporting.
- Java
- OOP
More on GitHub →
/ About
A bit about me.
I'm most at home in the space between a database and a decision — cleaning up fragile pipelines, untangling reports no one trusts, and making the messy middle of a data product feel obvious.
Before graduate school I earned a B.S. in Computer Science from OU. Since then I've leaned deeper into data (Azure, Snowflake, Power BI, Tableau) while keeping my software fundamentals sharp with Python, Flask, Java, and C#. I care about correctness, good ergonomics for the people using the data, and shipping things that are actually used.
/ Contact
Let's build something worth building.
Healthcare, analytics, ML, data science — if it's early-career and data-adjacent, I'd love to hear from you.