March 2018 - June 2021
- Led in the acquisition and analysis of satellite images for the selection of the best point for drilling boreholes using Python and ENVI.
- Created maps and geodatabase using ArcGIS, QGIS, Postgres, and PostGIS for reconnaissance surveys and built projects
- Planning and leading geophysical surveys.
- Supervised construction of 2 water systems and more than 100 boreholes
2021 - 2021
2019 - 2020
2019 - 2020
2010 - 2014
Used VGG as a pretrained network to build a new feed-forward network as a classifier using ReLU activations and dropout. The built model can be trained with any set of labeled images. This was done with Pytorch.
Used pdal and geopandas to build a custom module to interact with ept and lidar files and extract information to build the Digital Elevation Model and create Topographic Wetness Index from the DEM.
Used gensim as a base for natural language processing and streamlit as a means of displaying findings. Scikit-learn was used to build a tweet classifier as well.
Performed causal inference on the variables recorded to influence the diagnosis of tumor to be malignant or benign. Machine Learning was merged with causal inference by using XGBoost to extract the important feature on which the causal inference was made.
English — Native or Bilingual Akan — Native or Bilingual