Soufiane Aazizi

- Building a classification model to predict future churners based on personal banking activity
- Scraping and extraction of reviews, ratings, dates,... from a dedicated web page
- Construction of a banking lexicon for sentimental analysis of customer emails by adapting and modifying VADER method
- Detecting recurrent payments and subscription in customer transactions
- Building classification model to KYC remediation based on OCR outputs data

-Allocation of a personalized home page to users according to their browsing history,by transforming the problem of unsupervised learning into a supervised learning problem
- Recommendation system based on business rules, seasonality and recurrence
- Implementation of a batch to promote crossroads promotions on customers' mailboxes according to the similarity of their older products on their purchase history

- Development and lunch of ERP (Equity Risk Primia) with backtest
- Development of ERP strategies using Machine Learning algorithms (Random forests, SVM, ...)
- ERP index pricing models (Fear Vol, Value, Quality, multi-factors, ...)
- Writing index rules (Hypothesis and calculation methodologies)
- Convergence with trading and the calculation agent - Development of FACTSET API with pythonData mining
- Collecting and analysing Ownerships data by exchange market
- Collecting and Calculating Scores of ERP (Value, Quality, Momentum, ...)