I'm a Data Science Manager with a passion for leading teams and diving deep into data-driven insights. My goal is to harness the power of data science to make informed decisions and drive business success. Welcome to my GitHub page!
- π I specialize in managing, leading data science projects to deliver amazing data products, with a keen interest in Agile methodologies and Software Development.
- π‘ I'm deeply committed to my team's growth, development and wellbeing.
- π± Currently learning more about advanced PySpark, Python, and PyTorch.
- π Outside of data, I love reading non-fiction, hiking, running, and staying ahead of the technological curve.
Here are some projects I'm particularly proud of. Feel free to explore the repositories and reach out if you have questions or want to collaborate!
- Predictive Analytics for Retail: A model that forecasts sales trends based on historical data.
- Inventory Optimisation: An application that optimises supply chain controls on safety stock to produce cost optimal inventory levels.
- Convolutional Neural network time series classifier: A CNN classifier that can identify water leaks using novel senor data, and quantifies the leak size.
- Languages: Python, SQL, PHP
- Tools: Jupyter, Pandas, Scikit-learn, TensorFlow, Tableau, and more ...
- Methods: Machine Learning, Predictive Analytics, Statistical Tests, and more ...
- LinkedIn: LinkedIn Profile
Feel free to contact me for any exciting projects or opportunities. Let's make data work for us!