Position: Data Engineer
Category: Data Science
English level: fluent
Years of experience: 1.5

The credit scoring system I built with a team just in 6 months the system has reached 50,000 businesses, disbursed more than 500 million Birr.
My experience includes building a credit scoring system for small companies with no bank transaction using machine learning, creating different end-to-end data pipelines for various machine learning models, analyzing historical data to help banks make lending decisions, working with geospatial data to optimize a bus ticketing system, speech recognition models for low resourced languages and others as well. These projects have required me to use a variety of technologies, such as python, SQL, docker, dbt, Airflow, and AWS (lambda, glue, Athena, redshift, cloudwatch and more). Currently, I work as a data engineer and am working on improving and experimenting my skills in spark and Kafka.