π¨βπ¬ As a data scientist I use data and machine learning to develop models and explore new techniques to improve the lives of our customers.
π Read our papers that:
- used agent-based modelling to optimise credit card promotion pricing strategies
- surveyed the different techniques available for machine unlearning, i.e. removing the influence of data points from a trained model
π¨βπ During my PhD I used python π and C++β‘οΈ to analyse experiments that help us understand the nuclear reactions in stars that produce the elements we see in our Universe! ππ
π Read my paper on how we used transfer reactions to understand how radioactive elements in our Galaxy are produced here.
π Also feel free to download and read my thesis describing the two experiments that comprised my PhD.
Contact me through my LinkedIn βοΈ or email me directly: [email protected]. π§
π§ Some data science podcasts I'm a fan of: TowardsDataScience, DataFramed, and AI Right.
- Python
- NumPy
- Pandas
- scikit-learn
- pytorch
- Matplotlib
- Selenium
- BeautifulSoup
- C++
- C
- SQL
- MATLAB
- Linux
- bash
- Git
- AWS
- LaTeX