Part of Sanlam's Data and Digital graduate programme which exposes graduates to differnt business units part of Sanlam BI and provides continuous learning/training to gather skills required to be a data professional.
Conducted workshops with students, teaching them the principles of databases and SQL language. Also worked with Tableau. Course codes: INF2006 and INF2007.
Golden Future Project is university initiative aimed at providing resources and tutelage to high schools students from under resourced communities within Cape Town area.
Programme entails coursework and minor dissertation. Focused on naturla language processing, neural networks and amongst other state of the art methods. Also looked at optimisation and simulation methods, as well as advanced regression techniques.
GPA: 81%
A four year programme including final year statistical honours. Degree encompasses a wide range of topics, with a focus on computer science, mathematics and statistics. Achieved a GPA of 73% for statistics honours.
Completed schooling in Pietermaritzburg. Obtained distinctions at IGCSE, AS and A-Levels for Physics, Chemistry, Mathematics and Biology. Awarded full Academic honours.
Completed the Reinforcement Learning Specialisation from Alberta University which looks at covering the basics and intermediary work on Reinforcement Learning while also providing scope adn use cases to real world applications.
Completed DeepLearning.Ai's TensorFlow Developer Professional certificate through Coursera. Programme covered building NLP systems, several neural network frameworks and handling real world data.
Completed programme created by DeepLearning.Ai, which covers basic to advanced practices in Natural Language Processing. The bundle of courses covered everything from what is textual data, cleaning it, bag of words, sentiment analysis and more.
Completed programme created by John Hopkins University, which covers basic to advanced practices in Data Science. The bundle of courses covered everything from basics of statistics and business to advanced applications and real world use cases of how Data Science is used in industry.
We look at a selection of methods for examining text data, manipulating it into different forms, and extracting insight from it.
Neural networks simply learn and model the relationships between input and output data. We cover the algorithms and application of the basics in neural networks.
We look at splines. A spline is a sequence of piecewise functions (often polynomials of varying degrees, M), joined at knots and continuos up to a certain derivative.
Looking at an introduction to web scraping methods. We cover the basic uses of the rvest package as well as applications on different web scraping examples.
Looking at three recommender system apporaches, namely user and item based collaborative filtering and lastly, matrix factorization.
cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet. We look at introducing and applications with AWS, Google Colab and RStudio Cloud.