Below are some selected projects showcasing my ability to process data and gain strategic insights, as well as applications of Computer Vision and Natural Language Processing with deep learning. Github links to the projects are provided along with a short description.

Data processing, feature selection methods and analysis using Heart Failure Prediction dataset.

Employing various methods such as Collaborative Filtering using the Surprise library, as well as Content and Popularity based recommendation using Cosine Similarity.

Binary classification project using a Recurrent Neural Network with LSTM architecture to predict movie review sentiment.

A motion detection project that alarms you when you have an unwanted visitor in your home! Employs thresholding, contours and object detection to label new objects that come into frame against a reference image.

Project employing PySpark and Microsoft Fabric to consolidate various data sources into a unified repository, enabling the visualization of key trends affecting Toronto's housing market. Please see our insights in this report.