Data Scientist, currently working in the Automation team at IFS. I'm focused on bringing AI solutions to life. I’ve worked and led a variety of proof-of-concept (PoC) data science projects in different industries, including finance and fraud detection.
A Computer Vision Project for the course of EBC6300 Affective and Persuasive Computing (Winter 2019)
Examples using R STAN for performing Bayesian Inference
IFS
Implementing machine learning (ML) solutions into production
Computer Research Institute of Montréal
Prototyping machine learning and AI solutions for SME's and startups and offering consulting services to help local businesses.
University of Ottawa
I researched and applied deep learning techniques (Word Embeddings, Convolutional Neural Networks, Recurrent Neural Networks) using Keras.
University of Ottawa
Created Python Jupyter Notebook tutorials utilizing libraries (Scikit-Learn, NetworkX, Matplotlib) for fourth year students. Provided help to students on topics such as searching algorithms (Best-First, A*, Greedy) and machine learning algorithms.
ARIO Platform
Created an R package for collecting Google Trends data and aggregating results across time and location. Developed a proof of concept image processing and computer vision pipeline.
Deparment of Fisheries and Oceans Canada
Improved the accuracy of the information stored in the database by developing a PHP web application that identified discrepancies and allowed users to validate the information and track the validation progress
