Machine Learning Engineer
Portlink
Vancouver, British Columbia, Canada
• Leveraged Agile development to process 1,000,000+ datapoints to build and deploy (Docker + Azure) an ETA prediction tool.• Cleaned & visualized data using Pandas, Matplotlib and Seaborn, built & optimized regression model using Scikit‑Learn, and LightGBM.• Deployed model was capable of predicting ferry arrival times with a mean average error of 10 seconds and had an explained variance of 99.94%.• The model’s predictions helped clients better coordinate dock staff to ferry… Show more • Leveraged Agile development to process 1,000,000+ datapoints to build and deploy (Docker + Azure) an ETA prediction tool.• Cleaned & visualized data using Pandas, Matplotlib and Seaborn, built & optimized regression model using Scikit‑Learn, and LightGBM.• Deployed model was capable of predicting ferry arrival times with a mean average error of 10 seconds and had an explained variance of 99.94%.• The model’s predictions helped clients better coordinate dock staff to ferry arrivals, making port operations more efficient and less costly. Show less