Currently an Extern @Amazon
I'm Zemen Heliso, I Am Data Analyst.
Passionate about data analytics and hands-on teaching, I empower students with real-world ICT skills.
Work samples
I specialize in teaching front-end development and database management, with a strong focus on practical applications.
May 2025
Ad Performance Analysis Dashboard
Amazon · ✅ Verified by Extern · ⏱️ In progress
Amazon Operational Strategy & People Analytics Externship
Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and design persona-driven strategies to help Learning Ambassadors connect smarter, faster, and more humanely. It’s part research, part strategy—and all about learning how people data drives big decisions.
Data AnalysisPythonStrategyOperations
About me
Passionate about data analytics and hands-on teaching, I empower students with real-world ICT skills.
I am a dedicated ICT Instructor with a background in Electrical and Computer Engineering and an MBA. I have experience teaching front-end development and database management, emphasizing hands-on, real-world applications. My passion lies in data-driven decision-making, and I'm currently shifting my focus to data analysis. I recently completed a certification in Data Science Fundamentals from Udacity and am now enrolled in the ALX Professional Foundation Program, specializing in Data Analytics.
Externships
Amazon Operational Strategy & People Analytics Externship
Amazon
Experience
Data Analyst
Alx · Jun 2024 - Mar 2025
Education
Wollega University 6 Nekemte, Ethiopia
Bachelor of Science in Electrical & Computer Engineering
CPU College 6 Addis Ababa, Ethiopia
Master of Business Administration (MBA
Udacity Data Analysis Fundamentals
Class of 2024
Fundamentals Certification ALX Professional Foundation Program
Class of 2024
Data Analytics Certification ALX
Class of 2025
Skills
May 2025
Ad Performance Analysis Dashboard
What I've accomplished
This project demonstrates how data-driven decisions can improve ad targeting and campaign effectiveness. Through interactive dashboards and KPIs, we can uncover which demographics and interests yield the best ROI.
Outcome
This project explores ad performance across platforms, demographics, and interests using data visualization and analysis. The goal is to understand how different ad types perform (impressions, clicks, CTR, and conversions) and provide actionable insights that businesses can use to optimize marketing campaigns.
✅ Verified by Extern · ⏱️ In progress
Amazon Operational Strategy & People Analytics Externship
Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and design persona-driven strategies to help Learning Ambassadors connect smarter, faster, and more humanely. It’s part research, part strategy—and all about learning how people data drives big decisions.
Overview
During the Amazon Operational Strategy & People Analytics Externship, I focused on enhancing employee retention by analyzing workforce dynamics. I utilized web scraping techniques to gather employee reviews, extracting insights that informed the development of persona-driven strategies aimed at improving the onboarding experience for new hires, thereby reducing turnover before Day 90.
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What I've accomplished
I produced a consultant-style briefing that identified one employee as most at risk and documented patterns connecting burnout, disengagement, and lack of support across the review corpus.
Project breakdown
The project mapped FC roles (Stower, Picker, Packer, Learning Ambassador), described responsibilities, who each role worked closely with, common tools, and operational notes. The sheet produced a role-by-role CSV-style workforce structure used to explain training and workflow handoffs.
During the externship I gathered Glassdoor reviews and YouTube worker videos, cleaned the Glassdoor table (removed empty or invariant columns), and produced a structured CSV and annotated spreadsheet of YouTube transcripts with sentiment tags.
I merged cleaned Glassdoor reviews and YouTube transcripts, aligned cleaned_text and sentiment fields, and produced a unified table for comparison. The combined dataset listed platform, cleaned text, sentiment polarity/label, and tokenized keywords for analysis.
The work compiled themes from reviews, matched representative quotes, and recorded sentiment and source. It produced a table listing Burnout, Training Gaps, and Scheduling Issues with quotes and sentiment labels drawn from Glassdoor and YouTube.