Oubai Rifai
I am a telecommunication engineer who lived and worked in Syria, Türkiye, and the United States. I have experience in the humanitarian field, medical sales, hospitality, language tutoring, and interpretation.
About
I am a telecommunication engineer who lived and worked in Syria, Türkiye, and the United States. I have experience in the humanitarian field, medical sales, hospitality, language tutoring, and interpretation. Recently, I studied data analysis after realizing how analytical I am with every new topic that I encounter. I always used to ask “Why?” and “Who said so?” which annoyed some people around me. But I am curious and I don’t take things for granted, a skill I learned by interacting with a lot of people from different cultures and backgrounds.
During my adult life, I taught myself new languages such as Spanish and I studied Turkish and Italian. I learned how to fix internal combustion engines and established and ran a successful catering business in the United States. My studies in engineering included topics like calculus, statistics, physics, and algebra in addition to programming languages such as C, C#, C++, HTML, CSS, and SQL. That made my exposure to data analysis tools and programming languages such as Python seamless.
- 16 years' experience
- Joined September 2026
Skills· 14
Languages
- ArabicFluent
- EnglishFluent
- TurkishIntermediate
- ItalianBeginner
Industry experience
- Non-Profit Organization
- Consumer Goods
- Computers & Electronics
- Travel & Hospitality
- Education
- Professional Services
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Work experience· 12 roles
Independent projects in fraud analytics and financial data analysis (Python, SQL). • Fraud Detection for Humanitarian Cash Transfers: How would fraud show up in a cross-border aid program, and which signals catch it? Built rule-based and machine learning detection on simulated transaction data, informed by my fieldwork in Syria, and compared the approaches on precision/recall trade-offs. Detection rules caught all 478 simulated family-gaming cases at 76.7% precision. github.com/OubaiRif/syria-aid-fraud-detection • AI Capital Expenditures Analysis: How much of Big Tech's revenue goes into AI infrastructure, and how is it financed? Built a Python pipeline pulling FY2019–2026 capex and revenue for Microsoft, Amazon, Alphabet, Meta, and Oracle from SEC EDGAR (XBRL), reconciled against 10-K cash flow statements, plus hand-extracted guidance, depreciation, and financing disclosures. Capex-to-revenue broke out of its range in 2024 for all five; Oracle's reached 83% in FY2026. github.com/OubaiRif/AI-Capex-Analysis-2019-2026 • Stock Screener (Streamlit): Can market data, sentiment, and macro indicators be combined into one screening tool? Built a web app with traditional screeners, XGBoost signals, FinBERT sentiment, and a macro/gold dashboard, backed by a SQLite pipeline with automated after-market updates. https://stock-screener-2.streamlit.app/
Provided consecutive Arabic-English interpretation to Arabic-speaking immigrants at University of Virginia hospital, and Albemarle County Circuit Court.
Directed all facets of catering business, including food production, finance, marketing and sales for farmers’ markets and private events.
Education
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