Education

• York University - Lassonde School of Engineering
• Master of Science (MSC.) in Computer Science
• Sep 2019 - Aug 2021

Specialization in AI and Machine Learning. Current GPA 3.88/4.
Courses: Reinforcement Learning, Machine Learning Theory, Probabilistic Models & Machine Learning, Advanced Data Mining, and Data Visualization.

• York University - Lassonde School of Engineering
• Bachelor of Science (B.Sc.) Honours Degree in Computer Science
• 2013 - 2018

Member of Dean's Honour Roll.
Courses: Machine Learning and Pattern Recognition, Introduction to Reinforcement Learning, Introduction to AI and Logic Programming, Artificial Intelligence, Data Mining, and Big Data Systems.

Experience

• Data Scientist - Empire Life
• Apr 2018 - Sep 2019

• Increased the efficiency of the pre-screening process for life insurance applications by 15% by automating the decision using a gradient boosting model.

• Developed a model that predicted long and short-term disability claims with an accuracy of 94% by training a deep neural network with a 10GB dataset.

• Extracted, merged, and preprocessed datasets of up to 15GB using SQL scripts and Pandas.

• Developed in Python, and R, and worked with Git, Spark, Azure, and PowerBI.

• Software Engineer Intern - IBM
• Apr 2016 - Sep 2017

• Resolved issues related to software architecture, optimization, security, and deployment by debugging and developing patches for IBM's Watson Commerce platform.

• Achieved a customer satisfaction rate of 90% by providing adequate software development support to our customers.

• Worked with Java, and SQL/DB2, and debugged using JVM Logs and the ECTrace API.