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Yosef Worku Alemneh
Addis Ababa, Ethiopia
Programming languages and Frameworks:
Python; R; Java; C#; C; JavaScript; Node.js; Express.js; Angular;
Machine Learning and Deep Learning:
TensorFlow; PyTorch; Keras; scikit-learn
Algorithms and Data Structures:
Dynamic Programming; Graph Algorithms; Heaps; Binary Search Trees
Software engineering:
Agile; Testing; CI/CD; Git
Databases:
MySql; Oracle; MongoDB
NLP:
nltk; spacy; BERT
Big Data Ecosystems:
Kafka; Zookeeper; Spark; Airflow
MLOPS:
Azure; AWS; Travis; DVC; MLFlow;
About me
I'm a machine learning engineer with experience in both deep learning and full-stack engineering. I take immense pleasure in building complex user-facing systems. I adapt quickly to new tools and languages, and thrive in collaborative environments. I'm also passionate about teaching, especially programming and computer science.
Education
Addis Ababa University ( 2016-2020 ):
Addis Ababa University ( 2016-2020 ):
BSc.(Software Engineering)
BSc.(Software Engineering)
CGPA - 3.66/4.0
CGPA - 3.66/4.0
10 Academy ( July 2021 - October 2021 ):
Machine Learning and MLOps
Online Coursework:
Algorithms Specialization [Coursera] Certificate
DeepLearning.AI TensorFlow Developer Professional Certificate [Coursera] Certificate
Neural Networks and Deep Learning [Coursera] Certificate
Convolutional Neural Networks in TensorFlow [Coursera] Certificate
Natural Language Processing in TensorFlow [Coursera] Certificate
Sequences, Time Series and Prediction [Coursera] Certificate
6.046 Design and Analysis of Algorithms [MIT OpenCourseWare]
Work Experience
Designed machine learning models for automated bee hive monitoring system using python libraries (Tensorflow and Scikitlearn).
Created websites
- Participant and Teaching Assistant, Program in Algorithmic and Combinatorial Thinking (July 2021 – Aug 2021)
The program teaches students about the mathematics and algorithms fundamental to the computer science field. This five-week intensive course is one of very few with a theoretical and proof-based emphasis.
As a Group 2 participant in this program, I attended a 5 week graduate level course on Randomized Algorithms. Notable guest lecturers were Prof. David Williamson from Cornell University, Prof. Sanjeev Khanna from the University of Pennsylvania, and Prof. David Woodruff from Carnegie Mellon University.
Was also responsible for
mentoring Main Group students
grading their homework
creating difficult and challenging exam problems.
AddisCoder is a free intensive 4-week summer program in Addis Ababa, Ethiopia introducing high schoolers to programming and algorithms.
I was responsible for
Assisting during lab sessions.
Creating notes and exam questions
Grading exams
Projects
Amharic Speech To Text
Amharic Speech To Text
Built a deep learning model that is capable of transcribing a speech to text in the Amharic language. The model had Convolutional, DNN, and LSTM layers an used the CTC loss as its loss function.
Telecom Customer Data Analysis
Telecom Customer Data Analysis
Analyzed the customer information of a mobile service provider company. Provided a report to analyze opportunities for growth and made a recommendation on whether the company is worth buying or selling. Performed Univariate and Mutivariate analysis, and KMeans clustering.
Pharmaceutical Sales Prediction
Pharmaceutical Sales Prediction
The finance team of a pharmaceutical chain that has 1115 stores wants to forecast sales in all their 1115 stores across several cities six weeks ahead of time. Used Linear Regression, Random Forest Regression, and LSTM Regression to build an end-to-end product that delivers this prediction to analysts in the finance team.
A/B testing
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.
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