Kevin Yang Email & Phone Number

- Leverage Python (Pandas, Scikit-Learn) and SQL to develop predictive models for financial asset churn and withdrawals, customer value forecasting, and insurance based projects- Evaluate and translate model outputs into actionable and meaningful insights for business stakeholders- Develop and implement Generative AI use cases (LLMs, OpenAI), harnessing the capabilities of Azure and Cloud Services via APIs

- Created and optimized data analysis scripts using Python (Pandas) to drive fundraising for nonprofit clients- Uncovered key insights through statistical analysis and business intelligence to advise fundraising strategy- Delivered client-facing data analysis and onboarding reports that led to long-term partnerships

- Led the development of Hopeful's AI SaaS product, including features like Popularity Prediction, Sentiment Analysis, and Text Generation, demonstrating technical skills and leadership- Developed, evaluated, and deployed MVP AI models using Python (NumPy, Scikit-Learn, PyTorch, GCP, Flask) to drive social media and online fundraising success for nonprofit clients- Analyzed social media and fundraising data, including text, images, and metrics, using statistical methods and SQL/NoSQL databases to uncover meaningful insights for social media organic growth and strategy- Communicated insights to clients and cross-functional teams through reports, visualizations, and story-driven presentations, resulting in increased client satisfaction

Toronto, Canada Area

- Led the end-to-end development of enterprise software features such as Surgical Sound Event and Anomaly Detection, Speech Recognition, and Voice Obfuscation- Developed, evaluated, and deployed models using Python (PyTorch, Keras) and MLOps (Kubernetes, Docker, Flask) improving surgical safety analysis efficiency- Collaborated with cross-functional teams by analyzing complex data (audio, video, and labels, in SQL), to ensure that models were delivered and served effectively into larger applications and products

- Facilitated tutorials on engineering writing, including organizing and conducting tutorials, grading assignments, and providing detailed feedback to students to help them improve their writing skills- Demonstrated strong communication and interpersonal skills by providing personalized feedback to students and collaborating with the course instructor

Waterloo, Ontario

Toronto, Canada Area

Toronto, Canada Area

Toronto, Canada Area

Master'S Degree, Mhsc, Clinical Engineering

Surgical Education, Innovation, and Safety Research Group - Thesis: Using Surgical Audio and Boosted Decision Trees to Predict Events.

Basc, Mechatronics Engineering

- Capstone Project: Biometric post-concussion symptom monitoring device - Winner of Best Overall Capstone Project Award - Combined 2 years.