I'm a Data Scientist with over 5 years of experience specialising in Python, MLSecOps, and Artificial Intelligence. My expertise in leveraging machine learning and generative AI to solve real-world problems and drive impactful change across industries.
Currently, as a Senior Data Scientist, I'm leading the development and maintenance of high-impact ML and Generative AI systems across different sectors. My work focuses on adopting AI technologies to streamline business processes and improve decision-making. Using AWS, Azure, and Google Cloud services, I design and optimise batch and real-time data pipelines, ensuring seamless integration and analysis for internal clients. I'm also a key player in design discussions and documentation, using tools like Confluence and JIRA to foster clear communication within and across teams.
💼 Professional Highlights
- Leadership: Leading development and maintenance of ML and generative AI systems across industries
- Data Pipelines: Designing and optimizing batch and real-time data pipelines using AWS, Azure, and Google Cloud services
- AI Adoption: Driving AI adoption to streamline business processes and enhance decision-making
- Team Collaboration: Key contributor to design discussions and documentation using Confluence and JIRA
🛠 Core Competencies
- Languages & Frameworks: Python, TensorFlow, Scikit-Learn, PyTorch, Pandas, NumPy
- Cloud Platforms: AWS, Azure, Google Cloud
- Data Processing: SQL, NLP, Data Preprocessing, Data Visualization
- AI & ML: Machine Learning, Deep Learning, Generative AI, Model Evaluation & Tuning
- MLSecOps: End-to-end ML pipeline development, deployment, and security
- DevOps & CI/CD: Docker, Kubernetes, GitHub Actions
🌟 Key Projects
- Cross-Industry AI Implementation: Developed and maintained high-impact ML and generative AI systems to address unique business challenges across sectors, resulting in improved efficiencies and performance.
- Data Pipeline Optimization: Designed and implemented efficient batch and real-time data pipelines using cloud services, ensuring data reliability and accessibility for analytics and decision-making.
- Business Process Transformation: Leveraged AI to transform business processes, enhancing decision-making and operational efficiencies for clients across industries.
📚 Continuous Learning
- Published Paper: Analyzing the Perception of Immigrants in South Africa: A Machine Learning Approach to Aggregate Twitter Sentiment Data
- Master's in Artificial Intelligence (University of Johannesburg)
- Certifications:
- Microsoft Certified: Azure Data Scientist Associate Credentials
- Microsoft Certified: Azure AI Engineer Associate Credentials
- Focus: Cutting-edge AI techniques and applications
- Passion: Transforming data-driven insights into actionable solutions
👥 Collaboration Interests
- Artificial Intelligence Solutions
- Generative AI Applications
- MLSecOps Initiatives
- Cross-Industry AI Implementation
AI/ML/Data Science:
CI/CD:
Cloud Platforms:
Proficiency:
Applications:
