Constantine G.

Applying advanced data analysis techniques such as machine learning and statistical modelling to derive insights that can be factored into the decision making of the trading desk. ● Supporting ongoing initiatives around improving the quality and integrity of the data assets. ● Build mathematical models and consult experts to ensure a complete feature engineering. ● Develop various predictive models to answer different trading/risk problems in Python, leading to a better understanding of sports betting market fundamentals. ● Research new statistical and mathematical techniques that are suitable and helpful for solving risk-related problems. ● Main techniques subject to feature engineering: Neural Networks, Random Forests, SVM, K-Means, PCA, ICA Let's do some work together!