Dating App

• ETL: Extract and transform (cleaning and feature processing) data from NoSQL database (MongoDB) using Python (NumPy, pandas) and load them in data visualization tools (Python libraries including Plotly/Dash, matplotlib, seaborn…)

Video Games trends analysis

• Building pipeline for data extraction and transformation from several game websites Data loaded in a PostgreSQL database on an external server (Python libraries: BeautifulSoup, Pandas …). Visualization performed with Python (Plotly, Altair) and Tableau to provide insights on platforms, ratings and trends.

Minimizing churn rate through analysis of clients’ financial habits.

• Exploratory Data Analysis with Plotly, Pandas and NumPy. Modelling with scikit-learn (Logistic Regression and Random Forest algorithms). Interpretability performed using Recursive Feature Elimination and feature permutations. Link to repo.

Predicting users likely to enroll a fintech app to optimize marketing resources

• Data cleaning and processing with pandas, NumPy. Exploratory Data Analysis with Plotly. Predictions using logistic regression (scikit learn). Link to repo.

• Data munging and pre-processing using Python (NumPy/Pandas) and SQL
• Machine learning using scikit-learn (SVM, Random Forest, Naive Bayes, KNN, K-Means, LDA, Logistic Regression …)
• Deep learning with TensorFlow and Keras (CNN, RNN, LSTM)
• Natural language processing using gensim, NTLK (BoW, tf idf, word2vec…)
• Completed a senior project to predict startup funding success based on initial application data using Natural Language Processing techniques and LightGBM (boosting algorithm)

• Developed department wide sales and credit data analytics for presentations to Board and Group Executives (sales vs target, pipeline, run-rate…)
• Acted as single point of contact between the 65 people coverage team and other internal stakeholders on data and IT related matters
• Assist Coverage management with sales forecasting, planning, and budgeting
• Analyzed, managed and improved credit risk analytics (RWA, RAROC …) leading to best-in-class performance in Europe (#1 out of 25 countries)
• Organized bi-weekly call with management and compliance to tackle compliance urgent issues (e.g. potential sanctions breach, CDB16 requirements, transaction reviews…)

• Originated transaction banking products with Swiss Corporate Clients
• Raised new opportunities through analyzing various companies’ reports and performing wallet sizing
• Contributed and supervised the execution of Investment banking transactions

• Assessed credit risk on Swiss Corporates by analyzing companies’ financial data, repayment capacity, position within industry, management and business strategy
• Evaluated credit price based on the assessment of the risk adjusted profitability of relationship
• Analyzed and monitored the bank’s total counterpart exposure and risk return in interaction with global network