Elias Moalla

As a Data Scientist in Revenue Management, I leverage advanced data science tools and techniques to create and implement predictive models and real-time tracking systems, significantly optimizing revenue and operational efficiency. My responsibilities span the full data processing cycle and the development of real-time visualization tools, all aimed at deriving insights for strategic decisions and profitability enhancement.

Canal+ stands as a premier provider of pay TV services in France. My work was primarily focused on the Marketing and Customer Service departments, where I leveraged my skills to drive key initiatives and streamline operations.

My projects included:

- Developing a robust system for bank card fraud detection.

- Optimizing pricing strategies for our various bundles, contributing to improved profitability and customer satisfaction.

- Building a predictive model that could accurately forecast the volume of daily and monthly calls to our customer service. This predictive tool has been instrumental in enabling us to optimize our service operations.

- Designing and deploying a web application to industrialize the prediction model. This application automated many of our processes, thereby increasing efficiency.

- Providing a reporting feature in the application to consult historical data, enabling the team to draw valuable insights and make data-driven decisions.

QuantCube Technology is an industry expert in harnessing Economic Intelligence from unstructured and alternative data, offering clients real-time, actionable insights for informed decision-making.

In my role as a Junior Data Scientist, I contribute to:

- A noteworthy Natural Language Processing (NLP) project, where I perform sentiment analysis on Arabic tweets. This intricate work helps us understand public sentiment and trends in real-time.

- The design of automated trading strategies, leveraging advanced analytics to optimize financial operations and market performance.