10 Academy profile site
Eyerusalem Gebreegzabiher Hadgu
Addis Ababa, Ethiopia
Mekelle Institute of Technology (2015-2020)
BSc in Computer Science and Engineering
Email: eyugher21@gmail.com
Data Engineering
Kafka, Airflow, Spark, ETL, SQL/MYSQL, postgresql
Software Engineering
Python, Java, C++, C, JavaScript, HTML/CSS, Flask, Streamlit, React JS.
Machine learning
Tensorflow, Pytorch, Fastai, Plotly, Scikit-learn, Pandas, Matplotlib, EDA, NLP, Computer Vision
DevOps and MLOps
CI/CD, Docker, Git, CML, DVC, Mlflow, Airflow, AWS
About me
A Junior Data engineer with software engineering experience, along with experience in Data engineering, Deep learning, Machine learning, Natural language processing, computational and numerical analysis, and implementing algorithms. (Passionate about educating the next generation of technology users and innovators.)
Education And Trainings
- Mekelle Institute of Technology( 2015-2020 )
B.Sc in Computer Science and Engineering
Major courses:
Artificial intelligence, Calculus I - III, C, C++, Computer Architecture, Data Communications, Database Management, Data Structures, Design and Analysis of Algorithms, Discrete Mathematics, Image Processing, Java, Neural networks(Deep learning), Python.
- 10 Academy ( Jul - Oct 2021 )
Machine learning and Data engineering
Intensive hands-on training, and experience in solving real-world/industrial problems using data engineering, and ML engineering skills and approaches.
Skills Gained:
Business and Data Understanding, Data pipelines (Kafka, Spark, and Airflow), Modeling and evaluation (scikit-learn and Tensorflow), Dashboard & Visualization (Matplotlib, Seaborn, Plotly, and Streamlit), MLOps & Continuous Delivery (MLflow, Docker, and CI/CD), Collaboration, teamwork, leadership, Community building, and Career Thinking.
- Coursera (sep - oct 2020, Nov - Jan 2021)
Python for everyone, Deep learning specialization(Neural networks)
Work Experience
AI Research and Software Development, Intern, Icog-labs(https://icog-labs.com/about-us/)(Oct 2019- Jan 2020)
Building an android app on transliteration from English to Amharic,/Tigrinya, and vice versa. (Used an android app tool, java programming language, and an algorithm that converts the user scripts in English to Amharic/Tigrinya and vice versa. )
Research Assistant in NLP for Semitic language (June 2020- June 2021)
Text to speech (TTS) for Semitic languages(Amharic, Tigrinya, and Geez)
Extracting data from different resources.
Transforming data to spreadsheet format and Wav format.
loading the data into the end target, storing the processed text and voice into the google cloud.
Finding a good Deep learning architecture for the Research.
Projects
TeleCom User Data Analytics
Analyzing a telecommunication dataset that contains useful information about the customers & their activities on the network. Getting and delivering insights from the analysis and make a decision.
Casual Graph for Breast Cancer Disease
Creating a causal graph using all training data and get the insights, predicting whether its is malignant or benign using causal infernce techniques.
Speech to text for the Amharic language
Building a deep learning model that is capable of transcribing a speech to text for the Amharic language using an Amharic speech dataset (Wav format). using an RNN architecture for Automatic Speech Recognition. using MLOps pipeline, CML and DVC which had GPU runners integrated within Pull requests to allow easy training on AWS server.
AgriTech - USGS LIDAR
Built a python package that fetches lidar data from USGS API using Boto3, the AWS SDK for Python. and preprocess it using PDAL and GDAL. rasterio and Plotly were used to visualize the raster file and to create a 3D visualization of the terrain from the data.