I am a recent Master graduate actively seeking employment in Machine Learning Engineering.
New York City
Classify cancer with cytological data
• Built a decision tree classifier in Python to predict whether biopsied cells are malignant or benign with 97% accuracy.
Train a Smartcab to Drive with Reinforcement Learning
• Designed a Q-learning algorithm in Python that trained a simulated car to follow US traffic rules.
• Implemented learning rule to take effect within 28 t...
Creating Customer Segments with Unsupervised Learning
• Investigated unstructured data for patterns and the categories they fall into using Principal Component Analysis (PCA).
• Applied an gaussian mixture mode...
Finding Donors for CharityML with Supervised Learning
• Constructed Support Vector, Naïve Bayes and Decision Tree classifiers to identify likely charity donors from census data in Python.
• Optimized the decisi...
Evolution of Echo State Networks - Master Project
• Investigated Echo State Networks’ (ESN) abilities to predict time-series data of varying complexity.
• Identified the effects of neural network size, leve...
Comparison of Vocal Tract Shape Modelling Methods - MRI vs AR
• Reconstructed 2D images obtained from magnetic resonance imaging into 3D structural data.
• Created MATLAB graphical user interface to import vocal tract ...