• Automated PowerPoint creation using Python to streamline handoff processes and expedite distribution.• Integrated two KPI dashboards to align more effectively with operational requirements.• While my Python-based dashboard was no longer preferred post-management change, it serves as the foundational framework for future PowerBI integration.Extended part-time, remote for 4 months following completion of the 8 month co-op.

• Developed key performance indicators using Python Pandas, Plotly, and Streamlit dashboards to monitor advanced process control performance and progress.• Converted machine learning models from Python to MATLAB for use in operational technology systems.• Extracted and queried Big Data from Databricks DeltaLake using PySpark.

• Automated data acquisition methods for laser-induced breakdown spectroscopy experiments, increasing experiment efficiency by over 10 times.• Programmed (using Python object-oriented programming) motion controls for a 2-axes ball screw stage that interfaced with a Raspberry Pi’s GPIO pins through UART serial communication.• Co-developed user interfacing through a PyQt-based GUI that controlled spectrometers, a delay generator, and ball screw stage.• Developed user interfacing through a PyQt-based GUI that controlled 1 and 2 linear actuators connected to a NewPort XPS.Extended full time for 4 months under a Natural Sciences and Engineering Research Council of Canada Undergraduate Student Research Award, following the completion of an 8-month part-time Dean’s Research Award.PI: Dr. Amina Hussein

Investigated automation of target controls in Laser Induced Breakdown Spectroscopy (LIBS) systems.PI: Dr. Amina Hussein

• Instructed students aged 4 to 10 with math and reading assignments as part of a 5-person team. • Organized and maintained 10 - 20 student records per day.• Communicated with guardians and students to deliver effective lesson plans.• Trained new personnel to administer and grade assessments.

• Investigated methods of determining average male and female pelvic shape and size using statistical shape modelling.• Simulated the structure and interactions between cartilage surrounding the talus bone using Geomagic, Abaqus, and Materialise Mimics.• Modelled the volume of the nasal airway from computed tomography scans using Materialise Mimics prior to and after Invisalign treatment.