10 Academy profile site

Saba Agizew Woldeamanuel

Addis Ababa, Ethiopia

Addis Ababa University, Addis Ababa Institute Of Technology (2011-2019)

BSc. (Civil Engineering)

Email: savaagizew2@gmail.com

Git, PostgreSQL, AWS

Python programming, pandas

SQL programming, MySQL

Data Engineer + ETL/ELT pipelines, Data Warehousing

Apache Airflow, dbt, Power bi

About me

  • A Junior data Engineer capable of working from end-to-end Machine Learning projects involving data preparation and processing, visual analytics, machine learning, building deep learning models, and model deployment. structure and organize data for use in specific analytics appilcations and enabling businesses to make trustworthy business decisions.


Education

  • Addis Ababa University, Addis Ababa Institute Of Technology (2011-2019)

Bsc. (Civil Engineering)


  • 10 Academy (2021-present)

Data Science and Machine Learning Engineering



Work Experience

Data Entry

  • Data Entry Addis Ababa, Ethiopia LonAdd Consultancy PLC has entered a contract with Amhara Bank S.C to outsource data collection for one month and I worked with the PLC as a data encoder (http://lonadd.com/).

  • I have been working on data collecting, organizing them into categories, and finally digitalizing the hard copy for each person to soft copy.

Data Engineer

  • Green professional service P.L.C

  • My duty was to analyze the dataset for missing values, duplicates, and outliers and deal with them accordingly.

  • Make a new variable based on the multiplication of two columns.

  • Create three Data Marts and establish relationships between them using foreign keys and primary keys.

  • Load selected columns into the data warehouse for future use and visualize the three Data Marts.



Projects

Twitter Data Analysis



Analyses my Twitter data for sentiment and creates a Twitter sentiment analysis model. loads the data forking from 10xac/Twitter-Data-Analysis (github.com), extract and test it by using Travis CI, And build a dashboard by using MYSQL.


AMHARIC SPEECH-TO-TEXT ENGINE


Worked in a group of 7 to make an Automatic speech recognition system for the Amharic language. Layed out the MLOps pipeline using CML and DVC which had GPU runners integrated within Pull requests to allow easy training on AWS server.

Data engineering: speech to text data collection with kafka, Airflow and spark


Worked in group 8 on speech to text data.The tool that we create should 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 A/B testing


Using A/B testing to test if the ads that the advertising company ran resulted in a significant lift in brand awareness.Comparing machine learning models vs A/B testing gave me insights on what to use in which particular problem.