Predicting bitcoin prices using ensembling on multivariate time series. These feature sets can be categorised as macroeconomic factors, blockchain attributes and public opinion.

Categorised 50,000 Research Papers using Natural Language Processing and Topic Modelling. Deployed 24 different configurations to compare Statistical Modelling against Deep Learning for Natural Language Processing.

Predicting the spread of COVID like Virus among social connections using OOP concepts and Probability Theory.

Predicting pedestrian hot-spots in the city of Melbourne for street art performers. The predictions were made on real time streaming data using Apache Kafka and Spark.

Explored data from Parking Sensors across the city of Melbourne using Tableau and Visualised the results via a dynamic website built using Shiny in R.

Case Study to build an application to find available Parking Bays in Melbourne.

Detecting and identifying faces using KNearestNeighours and Haar Cascades.

Mined over a million movie reviews using a variety of Machine Learning models.

A website to report items lost and/or found in college, built using Bootstrap, MySql and PHP.

Developed a website to share academic material like notes, eBooks and projects.

Full duplex communication channel between Server and Client by binding sockets in C.

Assembled an online tool to browse, categorise and add new books.