Data Scientist | Business Analyst
I am an Analytics Consultant with advanced expertise in Artificial Intelligence, Econometrics, and data-driven decision-making, seeking a full-time role in Data Science or Business Analysis. With hands-on experience in predictive modeling, machine learning, and business process optimization, I specialize in developing scalable solutions using tools like TensorFlow, Python, and cloud platforms. My strong consulting background enables me to deliver actionable insights and drive business growth by addressing client needs and aligning technological solutions with business objectives. I am eager to contribute to teams that value collaboration, innovation, and data-driven decision-making.
Contact Information
- tjmazerolle@outlook.com
- 519-722-7202
- Waterloo, Ontario
Education
- University of Waterloo
- B.A., Economics
- Minor Degree, Mathematics
- Specialization, Econometrics
- GPA: 84%
- 2022
- Conestoga College
- Artificial Intelligence
- and Machine Learning
- GPA: 93%
- 2024
Work Experience
- Full Stack Web Developer - QuickQR
- September 2024 - November 2024
- Led full-stack development of scalable applications, building Django-based backend APIs in a microservices architecture with PostgreSQL. Developed responsive frontend components with JavaScript (Next.JS and React), and implemented CI/CD pipelines using Docker, Helm, and Kubernetes for AWS deployments. Integrated Kafka for asynchronous processing and enabled real-time communication with WebSocket and SSE, maintaining secure, optimized code throughout.
- Computer Vision Software Developer - SMART Centre
- May 2024 – August 2024
- Developed and deployed image classification and object detection models using TensorFlow, automating ML pipelines for scalability. Optimized models with hyperparameter tuning and data augmentation. Led MLOps initiatives, deploying models on Google Coral for low-latency edge computing. Conducted research on neural network architectures, delivering strategic insights to stakeholders. Created data pipelines for preprocessing and integrating large-scale image datasets to enhance model performance.
- Data Scientist - Fusion Analytics
- May 2022 – August 2023
- Analyzed retailer performance, providing insights into market trends and consumer behavior. Developed market cannibalization models and evaluated campaign effectiveness to optimize strategy and ROI. Transformed ad performance reporting through automation and streamlined processes. Utilized R, Python, and Excel for data analysis and visualization, integrating new data sources to enhance model accuracy. Communicated insights to stakeholders and maintained clear documentation of methodologies and findings.