Attachments
CV_Augustine_Mahbu_Ntemi.pdf
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Skills
Scikit-learn, TensorFlow, Keras, Numpy, Pandas, ScikitLearn, ETL, machine learning, Data mining, Python, SPSS, Excel, programming languages, data extraction, Big Data, PySpark, Xplenty, Python machine learning stack, SQL, Jupyter, visualisation, Matplotlib, Seaborn, hvplot, Tableau, PowerBI, Versioncontrol systems
Project history
Building ML models for water quality assessment and classifiation. My duties include:
* Model building using Numpy, Pandas, ScikitLearn, and TensorFlow.
* ETL pipeline prototyping, design and maintenance.
* Model maintenance (Identify, acquire, and integrate new data sets).
Building statistical models to evaluate the economic value of mining tailings, ML models for the
optimization of mineral processing and the environmental impact assessment of mining
operations.
* Applied machine learning for the classification of mining tailings/dumps for the extraction of rare
earth metals.
* Data mining with Python (Numpy, Pandas), SPSS and Excel.
* Modelling ground water flow and the behaviour of chemical species in the environment.