Accomplished Data Scientist and Enthusiastic Machine Learning Practitioner

With over 5 years of hands-on experience in machine learning, AI, data mining, and predictive modeling, I am passionate about leveraging data science to drive positive real-world outcomes. My career spans across significant contributions in financial services, manufacturing, and retail sectors, integrating data-driven solutions with business operations to deliver measurable results.

• Machine Learning & Deep Learning: Crafting models that predict and analyze with precision, from enhancing financial services to optimizing manufacturing processes.
• Cloud Computing Solutions: Expertise in AWS services (S3, DynamoDB, Lambda, API Gateway, ECS, Fargate), creating scalable, efficient data storage and retrieval systems.
• Data Visualization & Analytics: Utilizing Python (Plotly) and Power BI to turn complex datasets into actionable insights.
• Natural Language Processing & Computer Vision: Developing tools for real-time data analysis, enhancing user engagement and operational efficiency.

• MSc in Data Science, University of New South Wales (In Progress)
• Master of Economics, Griffith University
• Graduate Diploma in Chinese language, Beijing Foreign Studies University
• Bachelor of International Economics (1st Class Honors), Griffith University
• Bachelor of Arts, Griffith University

From leading development projects at ZeroW Health & Leisure to enhancing data analytics capabilities at Deloitte Financial Advisory, my career is marked by innovation, leadership, and the successful implementation of advanced data solutions.

• Kaggle Competitions: Top 0.003% global rank, with multiple medals in Open Competitions.
• AWS Certified Developer: Demonstrating proficiency in cloud-based solutions.

• Languages: Python, SQL, R
• Technologies: AWS, Azure, Git, GitHub Actions, Pytest
• Specializations: Machine Learning, AI, Data Modeling, Time Series Forecasting

Interested in collaborating on projects that challenge and excite. Let's connect and explore how we can make a difference together!

• Email: [email protected]
• LinkedIn: Michael Kingston
• Kaggle Profile: View my Kaggle achievements and contributions here

Let's innovate and push the boundaries of what's possible!