A technology professional with diverse knowledge and experience in different fields, and 3+ years experience in analyzing data and building machine learning models. Interested in exploring the potential of machine learning algorithms and data analysis in addressing some major challenges in energy industries and improving energy reliability. Currently serving as a data analyst, analyzing data, and improving the estimation of energy reliability metrics in Sub-Saharan Africa.
I love making sense out of data (with a great instinct for identifying data issues), generating intuitive data visualizations, crafting stories out of the the data and the visualizations, and what makes this whole process worth it is when this brings a positive impact into peoples' lives or identify a potential threat to be tackled which otherwise eventually becomes too destructive.
- Programming languages: Python (advanced), R(intermediate), MATLAB (intermediate), C++(basics).
- Machine Learning and Data Science (intermediate): Pandas, NumPy, Scikit-learn, TensorFlow, OpenCV.
- Database Administration(Basics): MySQL, MongoDB, PostgreSQL, XML.
- Distributed versioning and control: GitHub(advanced), GitLab (advanced).
- Data Analysis: Python, Microsoft Excel, Google spreadsheets, SQL, R, Alteryx.
- Data Visualization: Matplotlib, Seaborn, Tableau, Plotly, Folium.
- Communication: Good verbal and written communication skills, storytelling with visualizations.
- Languages: English(fluent), French(basics).
And ✨ I WRITE THE CLEANEST CODE! ✨