A motivated and team-oriented individual, proficient in predictive and inferential modeling, data wrangling, processing, and mining with adept knowledge of programming languages including python, R, SQL.
Capable of extracting insights from large datasets, and presentation of same through BI tools. Has strong problem-solving skills with broad-based experience in developing, testing and building custom web applications to present data insights.
Also possess knowledge of advanced statistical principles, and excellent written and oral communication skills.
BI Tools: Tableau, PowerBI, Plotly Dash, Streamlit
HTML, CSS, Flask
ArcGIS
Machine Learning
Deep Learning: TensorFlow, PyTorch
Work Experience
2019-Present: Kentucky Transportation Center
(Research Assistant)
integrate and analyze multiple big datasets to enhance State's traffic management, infrastructure investment, and planning decisions
see sample project integrating crowdsourced waze data and probe speed data
here and
here
2018 - 2019: KNUST, Ghana
(Research Assistant)
developed a seismic hazard assessment framework for Ghana, based on Monte Carlo simulations, statistical and geospatial analysis.
Predicted the expected ground motions from earthquakes. see details
here
Education
January 2021 - Present
PhD Civil Engineering
University of Kentucky, Lexington
August 2019 - May 2021
MS Civil Engineering
University of Kentucky, Lexington
August 2014 - May 2018
BS Civil Engineering
Kwame Nkrumah University of Science and Technology, Ghana
Community Service
Preseident, UKY Institute of Transportation Engineers (2022)
Graduate Senator at Large (Elected), UK Student Government (2020/21)
Member, Executive Board, UK Graduate Students Congress (2020/21)