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Hi, Iā€™m Kenny. I'm a recent AI graduate currently in Zimbabwe.

I'm interested in data science and analytics, robotics, AI applications and have a passing interest in operating systems and networks.

I'm currently developing scalable data and analytics pipelines because I have an interest in all the aspects invovled in data-driven decisions. I would like to infuse AI and ML in the process, so they will likely pop up in many of the projects I participate in.

I mostly use Python and will include any case studies I am working on in my repositories. I aim to grow into a professional practitioner, building production-grade solutions to a multitude of tasks and I've already started on this path. I am interested in optimising the use of resources but I am open to any type of problem to help keep my mind agile.

Feel free to browse through my repositories and view my projects.

Kenny's Projects

deepai icon deepai

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

nba icon nba

Analyses of trends in the NBA

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