Shaylin Velen

Hardworking and passionate Computer Science student with strong organizational skills eager to secure an internship or grad program. Ready to help team achieve company goals. Aspiring to learn new skills in Machine Learning, Data Science and AI.

• Using the MNIST dataset in Keras, used deep learning tools such as tensorflow to classify hand written digit images - skills used: Cleaning data and reshaping tensors, compiling, deploying and evaluation of a model consisting of multiple dense layers
• Using IMDB dataset from Keras, completed Binary classification task for movie reviews determining positive or negative review for each
• Assignments and projects done at the University of Cape Town A basic implementation of TikTok using binary search trees as data structures.
• An experiment done to test the experimental and theoretical bounds of the performance of Dijkstra's algorithm.
• An assignment was also done where hash tables were used, and a linear probing and quadratic probing implementation of a Hash table was implemented.
• All projects were JAVA based on a Linux based system using git.
• Parallelism assignment: Finding the minimum height of a simulated 'terrain area' in Java using the java Fork-Join framework. and the Monte-Carlo approach.
• Testing the performance of parallel versus serial algorithms.
• Concurrency assignment: Enforcing simulation rules in a parallel program using concurrency tools in Java.

Kaggle - Intro to Machine Learning