The Lean Startup Co Externship via Extern·🟢 Open to work
I design data workflows and agent-driven dashboards that turn raw data into actionable insights using tools like n8n.
My portfolio highlights projects that use n8n and agent design to automate insights, create dashboards, and apply analytics across business scenarios.
Built 2+ executive Power BI dashboards visualizing KPIs for gender diversity, translating raw HR data into clear visual narratives that supported C-suite decision-making. Delivered client-ready written communication summarizing actionable insights, demonstrating ability to present data findings clearly to non-technical stakeholders.
Cleaned and analyzed 5 client datasets using Python and Excel, synthesizing findings into a structured presentation deck with data-backed strategic recommendations.
I design data workflows and agent-driven dashboards that turn raw data into actionable insights using tools like n8n.
I am a graduate student in software engineering focused on data analytics. I build data-driven tools and experimented with AI agents during a Wayfair externship, where I used n8n to automate insights and deliver a live dashboard powered by agent workflows.
Externships
Corporate Strategy Externship Mentored by Eric Ries
In progress
Experience
Technical Tutor – Agentic AI
10Academy California, USA (Remote) · Feb 2026 – Present
Data Engineer / ML Engineer
Fraud Detection Project – E-Commerce & Banking · 2024 – 2025
AI Engineer
Intelligent Complaint Analysis – Financial Services · 2024 – 2025
Data Analyst / Data Engineer
Insurance Risk Analytics & Predictive Modeling · 2024
Front-End Developer
DeckCraft USA (Remote) · Mar 2024 – Sept 2024
Front-End Developer
Misale Marketing and Consultancy Plc Ethiopia · Nov 2023 – Jul 2024
Software Engineer
eTech ICT Solutions Ethiopia · Jun 2022 – Feb 2024
Education
Addis Ababa University Ethiopia
BSc. Software Engineering – GPA: 3.45 / 4.0 · Class of 2021
Udacity
Data Analysis Nanodegree · Class of 2022
Skills
Built 2+ executive Power BI dashboards visualizing KPIs for gender diversity, translating raw HR data into clear visual narratives that supported C-suite decision-making. Delivered client-ready written communication summarizing actionable insights, demonstrating ability to present data findings clearly to non-technical stakeholders.
Cleaned and analyzed 5 client datasets using Python and Excel, synthesizing findings into a structured presentation deck with data-backed strategic recommendations.
Collected data from multiple sources — CSV files and Twitter API — integrated datasets, and conducted EDA to uncover engagement trends across 5,000+ tweets using Pandas, Matplotlib, and Seaborn.
✅ Verified by Extern · ⏱️ In progress
The externship applied Eric Ries's Incorruptible 4 framework to diagnose strategic weaknesses in well-known brands. The work involved practicing the diagnostic method and using the four lenses to identify specific 'Ick Factor' issues. Outcomes documented diagnostic findings from the applied framework.
I practiced diagnosing strategic flaws using the Incorruptible 4 framework and recorded specific observations from each diagnostic exercise.
