I turn raw data into decisions that matter. Specializing in Business intelligence, predictive analytics, and data storytelling for modern enterprise.
Hi, I'm Amen. I'm a data analyst focused on the part of analytics that matters most to me: connecting technical work to real business questions.
My work lives at the intersection of statistics, storytelling, and software. Whether it's building an end to end ETL pipeline in Python, designing a dashboard for leadership, or wrangling analytical data in SQL Server. I'm comfortable getting my hands dirty at every level of the stack.
My projects span supply chain risk, green logistics, insurance analytics, fraud detection, and healthcare operations. Each project starts with a business problem and works toward a practical solution using data, analytics, and visualization.
Addis Ababa, Ethiopia · Open to remote opportunities
B.S. Computer Science · 3rd Year
Data Analytics · Business Intelligence · Decision Support
Business problem first. Technical solution second. Actionable recommendation last.
An end-to-end supply chain analytics platform combining Python ETL, SQL Server star-schema modeling, operational risk scoring, SLA monitoring, dynamic DAX recommendations, and revenue forecasting.
A sustainability analytics platform built from the Olist Brazilian E-Commerce dataset. It engineers shipment distances, route tiers, CO₂ emissions, carbon intensity, delivery efficiency, sustainability scoring, and decarbonization opportunities.
An underwriting decision-support platform evaluating premium adequacy, loss ratios, pure premium, profitability, regional exposure, and simulated rate changes to identify potential premium leakage and improve portfolio health.
A claims analytics pipeline that cleans and transforms auto insurance data, engineers early claim and financial risk indicators, and delivers Power BI diagnostics for fraud exposure, loss ratios, investigation prioritization, and audit workflows.
End-to-end healthcare analytics project analyzing 30-day patient readmissions, prior healthcare utilization, diagnosis burden, operational risk tiers, and predictive risk factors using Python, SQL Server, XGBoost, and Power BI.
Open to full time roles, freelance projects, and collaborations. If you have a dataset that needs a story, let's talk.