Wayfair logoCurrently an Extern @Wayfair·🟢 Open to work
Metasebiya Bizuneh portrait

Graduate software engineer, focused on data analytics and AI agents

I design data workflows and agent-driven dashboards that turn raw data into actionable insights using tools like n8n.

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Work samples

My portfolio highlights projects that use n8n and agent design to automate insights, create dashboards, and apply analytics across business scenarios.

  • Wayfair AI Agent Engineering for Business Intelligence Externship
    Wayfair AI Agent Engineering for Business Intelligence Externship
    Wayfair logo

    Wayfair · ✅ Verified by Extern · ⏱️ In progress

    Wayfair AI Agent Engineering for Business Intelligence Externship

    Learn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.

    AI Workflow DesignAI Agent DevelopmentPresentation SkillsWeb Scraping & Data Extraction
  • Power BI Job Simulation – PwC / Forage
    Power BI Job Simulation – PwC / Forage

    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.

    Power BI

About me

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

Wayfair AI Agent Engineering for Business Intelligence Externship

Wayfair

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

Data analyticsSoftware engineeringAI agent designn8n workflow automationDashboard development
Back to work
Wayfair ↗

✅ Verified by Extern · ⏱️ In progress

Wayfair AI Agent Engineering for Business Intelligence Externship

Learn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.

AI Workflow DesignAI Agent DevelopmentPresentation SkillsWeb Scraping & Data Extraction

Overview

The externship introduced AI agent development in n8n, covering workspace configuration, prompt design, and agent-driven workflows. The work converted brief style cues into prompt nodes and ran an image agent that produced moodboard descriptions detailing materials, color palettes, and composition.

Wayfair AI Agent Engineering for Business Intelligence Externship

What I've accomplished

I converted a short style cue into a prompt node and ran an image agent that produced a moodboard description listing specific materials, a color palette, and composition details.

Project breakdown

The project converted a brief style cue into a prompt node, ran the image agent, and produced a moodboard description where the AI expanded the prompt into specific materials, color palette, and composition details (e.g., wool rug, linen sofa, light oak floors).

Google Docs
Access
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Power BI Job Simulation – PwC / Forage

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.

Power BI
View all work
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Accenture Data Analytics & Visualization Simulation – Forage

Cleaned and analyzed 5 client datasets using Python and Excel, synthesizing findings into a structured presentation deck with data-backed strategic recommendations.

PythonExcel
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We Rate Dogs Twitter Archive Analysis

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.

PandasMatplotlibSeabornTwitter API
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