Merging my data science with strategic thinking to optimize internal training processes & drive impactful team transformations:Identifying data-driven opportunities for improvementAnalyzing & re-engineering business processesImplementing & managing change effectively

Managing Scotiabank's risk profile by providing internal control, using natural language processing (NLP) and real time voice, and e-communication data analysis.

● Fine-tuned 270-billion-parameter LLM model for generation of SR&ED Tax claims, projected savings $7M annually by increasing likelihood tax credit approval and operational hours saved. ● Automated data cleaning with Python & advanced SQL, slashing manual hours and errors by 25%, demonstrating efficiency and accuracy in high-volume data management.● Led the development of machine learning algorithms for anomaly detection in financial datasets resulting faster data compliance checks by 30% for SR&ED.● Pioneered a data science mentorship program for Mitacs, directly contributing to a 40% increase in team proficiency with Python and R for predictive modeling, fostering a culture of innovation and skill development.

• As President of Applied Artificial Intelligence Student Club, I have personally organized 20+ business analysis, data science workshops. • Through which I gained important skills as Complex Business Analysis, Communications & Strategic influencing.

● Successful exit of this startup with $1M annually in evaluation.● Drove the development of innovative NLP solutions employing RNN and LSTM, resulting in client content that saw a 25% boost in relevance and engagement.● Played a pivotal role in the practical integration of transformer models in financial applications, a first in the region, enhancing prediction accuracy by 20%.● Nurtured a growing team of junior engineers, emphasizing best practices, leading to a 15% reduction in developmental errors.● Initiated a pioneering project utilizing Convolutional Neural Networks (CNNs) for image-based fraud detection, marking a 30% improvement in identifying fraudulent transactions with visual data.● Launched an AI ethics framework consultation service, leading to a 50% increase in client adoption of responsible AI practices and transparency in model deployment.