Finance
Financial modeling, due diligence, unit economics, capital allocation, and risk analysis.
Business strategy & analytics
I’m a Berkeley Haas graduate with a data science minor and experience analyzing investments, building ventures, improving growth performance, and operating businesses internationally.
How I contribute
My work sits at the intersection of quantitative analysis, commercial judgment, and execution.
Financial modeling, due diligence, unit economics, capital allocation, and risk analysis.
Python workflows, KPI frameworks, dashboards, market research, and decision support.
Customer acquisition, channel performance, pricing, conversion, and revenue optimization.
Market sizing, customer discovery, business models, operations, and venture development.
Selected work
01
Evaluated 30+ early-stage B2B companies through financial modeling, due diligence, and a quantitative framework spanning 12+ financial and operational KPIs.
02
Connected geotechnical simulations with financial decision frameworks to translate environmental risk into executive-ready capital planning scenarios.
03
Led strategy, finance, and customer validation for a fraud-prevention concept spanning telecom, insurance, senior care, and family-user segments.
04
Analyzed acquisition performance across 15+ client accounts and built executive dashboards combining advertising, web analytics, and CRM data.
05
Designed marketplace economics, trust mechanisms, and market-entry assumptions for a skills-exchange concept focused on U.S. college communities.
06
Built and operated an international boutique travel company, applying acquisition, pricing, partnerships, and customer operations to sustained business growth.
Background
Before Berkeley, I built businesses and worked across digital marketing, technology, customer acquisition, and international operations. At Haas, I added rigorous training in finance, analytics, economics, and data science to that practical foundation.
That combination lets me move between a spreadsheet, a customer conversation, and a strategic recommendation—without losing sight of execution.
University of California, Berkeley
B.S. Business Administration · Minor in Data Science · 2026
Corporate Finance · Business Analytics · Probability · Statistics · Data & Decisions
Tools
Python / Pandas · Excel · SQL · Google Analytics · SEMrush · Google Ads · HTML/CSS
Languages
English · Arabic · Macedonian · Spanish
Start a conversation
I’m interested in analytical opportunities across finance, strategy, operations, growth, and adjacent business functions.