Experienced and passionate data scientist with an academic background in mathematics and actuarial science.
At Mars I am part of growing the Analytics capability within supply chain function.
Benefits that I have been bringing :
Championing the Data Science Function within Data Intelligence team by :
As a customer focused analyst, I influenced :
Working at Thatcham Research, my achievements were:
As a young analyst at Ericsson my first key projects were:
I thoroughly enjoyed this short but valuable experience whilst working on my Masters degree thesis, as I took part in completely different activities to anything I have experienced before, mainly :
Modules covered: Supervised learning, Unsupervised Learning, Deep learning, Software engineering, Data Engineering, A/B testing, Recommendation Engines.
Relevant software/language used: Python (Pandas, Scikit-learn, Pytorch, Keras, Beautiful Soup, Flask, NLTK, others), HTML, CSS, Heroku
Modules covered: Financial Mathematics, Survival Models, Actuarial Mathematics, Economics (Macro and Microeconomics), Statistical Methods in Insurance, Stochastic Processes and Accounting.
Relevant projects: MSc dissertation “Mortality modelling and projection” – Studying stochastic models for human mortality and finding best model for each selected country.
Relevant software/language used: R (Extensive use throughout the year and when working on the dissertation).