Samuel Abrha
AI Project Contributor en Sustainable Technology Solutions (Freelance)
Mekelle Institute of Technology
Etiopía
¡Hola, soy Samuel Abrha!
AI Project Contributor en Sustainable Technology Solutions (Freelance)
Recent graduate in Electronics and Communication Engineering with an exit exam score of 85. Highly motivated to leverage technical and problem-solving skills in a professional environment. Seeking opportunities to contribute to innovative projects while further developing my expertise.
Redes sociales
No se agregaron enlaces sociales
Experiencia
Sustainable Technology Solutions (Freelance)
AI Project Contributor
Presente
Contributed to various data science and machine learning projects focused on solving real-world sustainability and humanitarian problems
Worked on collecting, organizing, and cleaning datasets for training machine learning models in low-resource settings.
Ethiopian Telecommunication Corporation
Intern
February 2024 - May 2024
Worked on Fixed Network
Explored the Fixed Network concept and observed the central switch and data center of Ethiotelecom
Gained an understanding of how signals are transmitted through fixed network elements
Learned about the operation and maintenance of various components in the MSAG, including upgrading them with new cards
Studied how DWDM and CWDM components work
Practiced fiber cable splicing, fault identification, and the creation of RJ-45 cables
Configured ZTE switches using tools like PUTY
Contributed to the design and simulation of a hybrid dispersion compensation module using OptiSystem
Educación
Certificaciones y Distintivos
No se agregó certificaciones o distintivos
Proyectos
8 hands-on projects on WorldQuant university
•https://www.credly.com/badges/8b2835ae-0276-413e-8451-8388cd92127d/emailstudent
I completed eight hands-on data science projects through the WorldQuant University Applied Data Science Lab, applying real-world analytics and machine learning techniques. I analyzed housing data in Mexico to find whether size or location most affects price and built a linear regression model to predict apartment prices in Buenos Aires. I modeled air pollution in Nairobi using time-series forecasting and predicted building damage from the 2015 Nepal earthquake using classification models. I developed a bankruptcy prediction model for Polish companies, clustered U.S. households using k-means for customer segmentation, and conducted an A/B test to measure the impact of email reminders on quiz completion rates. Finally, I forecasted stock market volatility in India using GARCH models, integrating APIs and SQL databases for data management and model deployment.
Idiomas
Inglés
Amárico
Habilidades
Data Analysis
Machine Learning
Python
Deep Learning