- Develop and implement solutions to fight against fraud, AML (anti money laundering) solutions, financial crime, (SAM) suspicious activity monitoring, - Prepare ML models to detect anomaly, - Implemented data models, algorithms to develop machine learning solutions,

• Developed machine learning and deep learning models to provide industrial solutions in marketing,• Prepare regression or classification models like churn predictions, customer segmentation,• Implemented data models, algorithms to develop machine learning solutions as a member of data scientist team,• Organized and conducted machine learning pipeline, with a focus on data preparation, model training and optimization, successfully used visualization techniques to inform and give intuitions to stakeholders,• Performed exploratory analysis and feature engineering to fit best models on Python,• Discovered patterns, formulated and tested hypotheses, translated results into strategies which drive growth resulting in increased revenues and improved customer satisfaction,• Prepare reviews by searching academic literature,• Work on many projects at once as a multi-tasking researcher/data scientist.