About
I am a data science and business analytics professional with a strong foundation in mathematical analysis and applied statistics, focused on solving real-world problems in urban systems, business decision-making, and public policy.
I hold a master’s degree in Functional Analysis, where my academic work emphasized rigor, abstraction, and precise reasoning. That training continues to shape how I approach data: carefully defining problems, validating assumptions, and building models that are both interpretable and decision-ready.
Before transitioning fully into data science, I served as a mathematics instructor at Samara University in Ethiopia. Teaching advanced concepts strengthened my ability to communicate complex ideas clearly, structure analytical narratives, and work effectively with both technical and non-technical audiences. These skills now translate directly into stakeholder-focused data analysis and storytelling.
My applied work centers on time-series forecasting, experimentation, optimization, and spatial analysis using Python, SQL, Tableau, and Excel. I build end-to-end analytical workflows that move from raw data to insight, with an emphasis on reproducibility, transparency, and practical impact. My projects span urban safety analytics, operational demand forecasting, dynamic pricing for short-term rental platforms, experimental analysis for business decisions, and housing affordability analysis using public data.
After immigrating to the United States and adapting to a new academic and professional environment, I returned to formal study and applied analytics with renewed focus and discipline. That experience strengthened my resilience, adaptability, and ability to perform in complex, evolving settings.
Based in the San Francisco Bay Area, I am building a portfolio of applied data science and business analytics projects designed to support evidence-based decision-making in both the private and public sectors. My goal is to contribute analytical depth, disciplined methodology, and clear communication to organizations addressing operational, economic, and urban challenges at scale.
Focus areas:
Urban analytics • Demand forecasting • Dynamic pricing • Experimentation & inference • Public-policy data analysis