Projects
Henok Tilaye
Highlights
Beyond Correlation: Causal-Inference
This project focuses on using causal inference to answer causal questions related to breast cancer cases. It uses a tabular data with features about cell samples of different individuals. The data used in this project is taken from kaggle. It can also be downloaded from the UCI Machine Learning Repository. You can find a lot more details here.
African languages Speech-to-Text
This was a team effort to build a Speech to text engine that would be able to transcribe two African languages. These were Amharic and Swahili. We explored some deep-learning architectures that would give the best results. And at the end, we build a web-app that a user could use to interact with our model. You can find a lot more details here.
A/B Testing
This was a project for helping an advertisement company measure the effectiveness of the ads they made for a client, It was also build in a way that the company could use the system for measuring future ads performance. The project was completed in teams. I was responsible for setting up the MLOps components and the ML based A/B testing pipeline.