I'm a computer scientist who likes implementing creative solutions to power data-driven decision-making. Some notable projects that I've worked on or am working on are an optimal course scheduler and a paper-citation extraction tool.
I'm always interested in learning more, so if you've run into an interesting problem, have an opportunity, or have a cool idea please do reach out! :)
Some quick facts
- Final year Computer Science @UWindsor
- Data Scientist (intern) @Swift_Medical
- Research Assistant @UWindsor
Some cool tricks I've learned:
- Data Science, how?
- Internship @Swift_Medical
- Research Experience
- Personal Experience
- Software engineering, how?
- Academic Experience
- Internship @CWT
- Research Experience
- Personal Experience
Things I've worked on:
- Backend Development
- Automation
- Full Stack App Development
- Natural Language Processing, Relation Extraction
- Data Wrangling, Cleaning, and Analysis
- Modelling, Fine-tuning, and model analysis
- Project Management
What I'm currently learning/working on:
- Relation Extraction
- Recommender Systems
- Graph Neural Networks
- Productionizing Machine Learning Systems