Natnael M. Zerihun
Helsinki, Finland
Erasmus+ Scholar (2024-2026)
Email: natnaelmasresha@gmail.com
Phone: +358 407 513 366
Python
JavaScript
Java
C#
SQL
CI/CD
DVC
MLflow
Unit Testing
Virsion Control | Git
React
Blazor
Streamlit | Redash
REST API
.NET Core | MVC
Apache Kafka
Apache Airflow
SQL | MySQL
ETL | ELT
Pandas
About me
I have strong expertise in Python and Machine Learning engineering, specializing in building scalable and innovative solutions. My experience includes working with ML models, Computer Vision projects, API systems, and end-to-end pipelines for data analysis and transformation. I am also junior data engineer who has expertise in Data Warehousing & ETL pipelines. Competent with data engineering technologies and python libraries. Implemented a diverse range of projects using Airflow, Kafka, SQL, and DBT. Proficient in working with large datasets to transform data and perform exploratory data analysis.
Education and Training
Merging advanced technologies to create highly efficient, intelligent engineering products.
MEMS technology
Micro fabrication
Took machine learning, web3, and data engineering training.
Majored in Data-Engineering
Built a series of large projects
Completed Data Engineering learning track
Completed Azure fundamentals
B.Sc. in Electrical & Computer Engineering from Addis Ababa Institute of Technology, Addis Ababa University
Graduated with distinction: Major CGPA - 3.51
Soft skill Training
successfully completed a personal development training
developed an AI-powered 'Creative Design Manager' designed to assist creative ad designers in optimizing KPIs.
Reduced delivery time by ~85%: from 2-3 weeks to 3 to 4 days by implementing abstract game logic that can be
used by designers effortlessly
Built an AI-driven system to analyzes historical performance data & suggest improvements to enhance KPIs.
Designed a game engine on top of fabric.js library
Designed and developed multiple portfolio websites
Participated in a web scraping project with C#
ASP .NET Core: Student Registration Management System
Developed and Published ASP .NET Core web application (Spam Email Checker)
Worked with large data
Developed an online Learning Management System (LMS) and integrate it with an existing ERP system
Developed an API for the Federal Police of Ethiopia that collects guest information from hotels
currently under review for applying it nationwide
included a face-recognition system for enabling police to search any guest by their photo
Developed the company profile website
Designed an automated drip-irrigation system using ATmega microcontroller.
Install the irrigation system in a greenhouse at AAU.
examined the efficacy of the system in cultivating different crops.
Developed C# based a synchronized file sharing system with FTP
Projects
A data engineering pipeline that allows recording millions of Amharic and Swahili speakers reading digital texts on a web platform. I used large text corpora. Designed and built a robust, large-scale, fault-tolerant, highly available Kafka cluster that can be used to post a text and receive an audio file
Created a scalable data warehouse that will host the vehicle trajectory data extracted by analyzing footage taken by swarm drones and static roadside cameras. Applied the Extract Load Transform (ELT) framework using DBT. Set up transformation workflows. Finally, visualize results and analysis on redash.
Provided a finance team to forecast sales in all their stores across several cities six weeks ahead of time. Built and served an end-to-end product that delivers the prediction to analysts in the finance team. Prepared a standard dashboard for reporting and presenting findings from this project.
provided a report to analyze opportunities for growth and make a recommendation on whether a certain Telecom company (TellCo) is worth buying or selling. Performed analysis on the company's dataset that contains useful information about the customers & their activities on the network. Delivered insights through an easy-to-use web-based dashboard and a written report.