Amauel Zewdu
Addis Ababa, Ethiopia
Addis Ababa Institute of Technology (2016-2021)
Email: amanuelzewdu21@gmail.com
Apache Kafka
Apache Airflow
SQL
ETL
Python
Java
C++
Testing
Unit Test
CI/CD
Travis CML
DVC
MLflow
HTML5
JavaScript
PHP
CSS
Streamlit
About
Junior data engineer who builds scalable data pipelines using tools like Airflow, Kafka and dbt to perform data warehousing and transformation. He has data modelling dexterity with advanced python libraries together with SQL databases. He also uses these libraries on areas of computer vision, deep learning frameworks and MLops. Moreover, he is experienced in areas of visualizations for reporting and comfortable with working in teams.
Education
Advanced mathematics
Data structures and Algorithms
Database systems
Library management system using SQL operations and Web application interfacing
Mobile app controlled pick and place robot arm
Scalable data warehouse using Apache airflow, DBT and PostgreSQL
Text-to-speech data collection pipeline
Pharmaceutical sales prediction application using deep learning
Creative KPI maximization using computer vision on extracted features
A/B testing by hypothetical and machine learning methods
Work Experience
Generated both visual and verbal reports from ERP data for immediate managers to help with their decisions
Implemented an ERP system which the firms used as the main mechanism to maintain their resource plans
Built interactive websites that helped both firms to increase their reach and develop their customer relations
Modified both the backend and UI of the ERP system implemented
Maintained network and security facilities and tools in order to assure the smooth operation of the ERP software
Developed a laravel web-app that serves as a platform for people to present their new work ideas
Projects
This project's objective is to develop a tool that can be deployed to process posting and receiving text and audio files from and into a data lake, apply transformation in a distributed manner, and load it into a warehouse in a suitable format to train a speech-to-text model.
SmartAd is an advertiser agency that provides brands with an automated advertising experience. This project tests if an improved ad increases brand awareness. This is done by using a service called Brand Impact Optimizer (BIO), provided by the company and applying machine learning A-B testing techniques.
The finance team of Rossmann pharmaceuticals wants to forecast sales in all their stores across several cities six weeks ahead of time. So this project cleans the data, visualizes various features and interactions and using models, serves an end-to-end product that delivers this prediction to analysts in the finance team.
This Project utilizes Computer Vision for Creative Optimization and KPI maximization through image analysis. Computer vision technology has transformed the world by allowing machines to achieve human-level understanding of images and videos,. Using this methods feature extraction was carried out and effects of the features on KPIs (CTR and ER) were studied.