10 Academy profile site
Euel Fantaye
Addis Ababa, Ethiopia
BSc. (Electrical And Computer Engineering)
Addis Ababa University, Institute of Technology
Email: euelfantaye@gmail.com
Linkedin: linkedin.com/in/euel-fantaye
Python | SQL | Java
JavaScript | NodeJS
Django | Heroku
Github | DVC | Mlflow
SQL | Streamlit
Mongo DB
Kafka, Airflow, Spark
Data Studio
About me
I am a Junior Data Engineer with background knowledge on OOP programming, SQL, Python, relational and non-relational databases. Experience in ETL, data visualization, preprocessing, data and feature engineering, developing an end-to-end data pipeline.
Education
Data Science and Machine Learning Trainee (July 2021 - October 2021)
Currently a trainee in 10 Acadamey on Data Science and Machine Learning Engineer. On the training so far I've worked on individual projects and with teams on solving real-world problems as summarized in the portfolio listing. Some of the responsibilities performed were; data extraction, data cleaning, prediction using machine learning, writing reports, and visualizations.
BSc in Electrical And Computer Engineering (October 2015 - October 2021)
Relevant courses offered include Calculus I through III, Probability, Control Engineering, Ordinary and Partial Differential Equations, Electromagnetics, EMFs, Modern Physics, and programming languages including OOP, VHDL, Verilog, C, C++, Java & MATLAB.
Work Experience
Full stack web development
Front & Back End development
Database management
Prepared detailed reports and presentation
Covid inspired telegram-based project e-learning student's online hub currently more than 30K students joined.
Developed e-library bot
Managing 6 groups & channel student discussion group
Preparing Quizzes, Exams & Online learning resources
Coordinating other volunteers
Projects
User analytics on the customer overview use of the Telecom product, customer engagement, experience and satisfaction analysis . The main goal of the project is to analyze opportunities for growth and identify opportunities to drive profitability by changing the focus of which products or services are being offered.
The key skill acquired is data visualization using seaborn and matplotlib in python.
Time analysis is performed to check for trends and seasonality in sales over time for all the Rossmann pharmaceutical sales. A predictive model, Prophet, is used to forecast sales in all their stores across several cities six weeks ahead of time
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.
Speech-to-text technology for the Swahili language. Building a deep learning model that is capable of transcribing a speech to text.
The design of this intelligent form requires selected people to install an app on their mobile phone, and whenever they buy food, they use their voice to activate the app to register the list of items they just bought in their own language. The intelligent systems in the app are expected to live to transcribe the speech-to-text and organize the information in an easy-to-process way in a database.
My medium article on this project