Mahlet Taye profile site

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. 

Time series analysis on  Rosemann pharmaceutical sales data across multiple stores. The project uses different machine learning algorithms to predict sales.

The project aims to deliver an end-to-end Amharic speech recognition model using Tensorflow, keras, mlflow, and docker. The project uses Amharic speech data and transcribe it to text. For feature extraction, we have used MFCC. The project uses a combination of RNNand CNN algorithms for training and inference.

Python package that is used to fetch and process data from Amazon s3 bucket. LIDAR_3DEM package is built to fetch raster data from USGS Public dataset using a data pipeline. The package will process the raster data that is found in image format to geopandas dataframe that contains year aggregated coordinate points for a give bound. The coordinate points and their elevation will be plotted into a 3D image.