Hello! I am interested in Multidisciplinary Machine Learning based research:
I use tools such as neural networks and Bayesian times series models to solve key problems across domains such as remote sensing, financial forecasting and urban planning.
I'm currently pursuing a:
Relevant Coursework: Digital Computation, Data Structures and Algorithms, Differential Equations (I,II), Linear Algebra (I,II,III)
Relevant Projects:
Relevant Extrcurriculars:
Performed Data and Geo analytics to find patterns and to provide insights on active and public transportation.
Proposed and presented plan of action for increasing sustainability in the ROW to Sustainable Waterloo and Climate Action Waterloo.
Created the open-source Waterloo Regional Project Database, containing 400 projects with over 10,000 online impressions.
The team used network analysis, regression, and dimensionality reduction techniques to predict the veracity of tweets.
Contributed to text feature extraction to obtain the final datasets for the analysis.
First place (among 100 teams from 39 universities), awarded the Overleaf Outstanding Science communication award.
Published in STEM Fellowship Journal.
Developed ArcGIS layers to analyze the primary factors that influence sinkhole formation.
This study will aid policy makers to predict future sinkhole occurrences and to minimize damage to life and property.
Awarded silver medal at Waterloo Wellington Science Fair, 2019.
Created a windows application that analyzes the testing logs and creates statistical reports for managers to understand the performance of software product increasing the efficiency of software release by 10%.
Designed, upgraded and tested Java classes using Agile methodologies increasing team productivity by a factor of 58 times.